Search Captions & Ask AI

Are These Apple’s Next Products?

May 01, 2026 / 01:35:48

This episode features hosts Marquez Brownlee, David Imel, Ellis Rubin, and guest Mariah Zank discussing Apple, Samsung, upcoming products, and the Philadelphia 76ers' playoff journey. Key topics include the upcoming iPhone Ultra, Apple CEO John Turnis, and new AI photo editing tools in iOS 17.

The hosts talk about the anticipated iPhone Ultra, speculating on its price and features, including a foldable design. They discuss John Turnis's role in the upcoming September event, where he is expected to introduce the new iPhone.

Mariah shares her excitement about the Philadelphia 76ers' playoff performance, highlighting their recent comeback and the emotional rollercoaster of being a fan. The conversation touches on the intersection of sports and personal experiences, emphasizing the connection to the team.

The episode also covers Apple's new AI photo editing features, including tools for enhancing and modifying images, and the implications for photography and privacy. The hosts debate the potential impact of these features on user experience.

Finally, the group discusses the chaotic nature of tech events, the importance of social media in sports fandom, and the challenges of navigating multiple platforms for information.

TL;DR

Hosts discuss Apple, Samsung, AI tools, and the 76ers' playoff journey.

Episode

1:35:48
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Black and yellow.
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>> I'm actually shocked that
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>> high school.
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>> Fair enough.
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>> Touche.
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>> Or middle. Actually, that was middle
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school.
00:00:08
>> Black and yellow.
00:00:09
>> Black and yellow. Black and yellow.
00:00:10
>> Is that really?
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>> Why are you shocked that I know that?
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>> I thought that was later than that.
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>> Old
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>> black and yellow song. Oh, it's actually
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called Black and Yellow.
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>> Like 2012.
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>> 2010.
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>> Wait, what did you think this song was
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called?
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>> Yo, what is up people of the internet?
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Welcome back to another episode of the
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Waveform Podcast. We're your hosts. I'm
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Marquez.
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>> I'm David.
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>> And I'm Ellis.
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>> Ellis at the main table.
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>> Ellis at the big table.
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>> But then that means who?
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>> Whoa. That's right. You guys asked for
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it. We delivered.
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>> Mariah on the podcast.
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>> Hello.
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>> They do be asking. In today's episode,
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we've got a bunch of classic Waveform
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stuff. We got to talk about Apple,
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Samsung, upcoming products, things that
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we've gotten used to talking about a
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lot. Also, uh, someone trying to beat
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Apple at their own game could be very
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interesting.
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>> It's true.
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>> Yeah.
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>> Not just someone.
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>> Well, I guess we'll get
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>> We'll get We'll get to it.
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>> We'll get there. You can't jump the gun
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too much.
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>> Yeah. Uh, okay. I got a quick update
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from last week. Uh cuz remember when we
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were discussing whether or not John
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Turnis was going to take over either at
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WWDC. We knew that he was going to
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officially take over CEO in September.
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>> Mhm.
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>> But we didn't know if he was going to
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headline WWDC or if he was going to
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headline the iPhone event. But now uh
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Mark German is reporting that Turnis
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will be headlining the September event
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specifically because he led the team
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that designed the foldable iPhone.
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>> So when they announced that also new
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story that came out yesterday,
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apparently it's going to be called the
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iPhone Ultra. I think that's
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interesting.
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>> I don't believe it.
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>> It makes sense.
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>> I don't think it makes sense.
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>> You don't?
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>> No.
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>> It's the ultra iPhone,
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>> but it's probably the least durable one.
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>> Oh, so ultra should mean durable.
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>> I mean, that's what the watch that's
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what it means every to be true.
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>> So, I guess in Apple land, what does the
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word mean versus everywhere else? What
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does the word mean?
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>> Yeah. Everywhere else, the word ultra on
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a flagship phone means the max specs,
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most features, biggest cameras, all that
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stuff,
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>> which is what the laptop's going to
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mean, too. When the MacBook Ultra comes
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out,
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>> not studio. You think it's going to be
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MacBook Ultra?
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>> That's what Gurin is reporting that it
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will also be ultra.
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>> So then in Apple land, what does ultra
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mean? Ultra would be
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>> It's not durable anymore.
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>> Mac uh Apple Watch Ultra is the only
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ultra, right?
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>> Yep. So durable also maxed out
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>> or three ultra chips.
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>> The chips are ultra but that's just the
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chips. Yeah. Okay.
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>> Are they durable chips?
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>> That's a really good question.
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>> They are rocks themselves. I guess
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>> well yeah. So okay it's going to be the
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folding iPhone Ultra and he is going to
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be the one sort of headlining and what
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we mean by headlining is like he's the
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one that opens it and then starts
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passing it to other people. Like
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previously it would be Tim Cook, right?
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He's the CEO. He goes, "Good morning. We
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have so much to share with you. Thanks
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for joining us. Uh, we have a lot to
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show you. I think you're going to love
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it. Introducing the first person or
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they'll go introducing iPhone then fancy
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video then head of iPhone product will
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come out and then it'll go back to Tim
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Cook and it'll go we also have something
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great to show you with audio and then
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they'll play a fancy video of AirPods
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and then the head of AirPods will come
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out. Yeah.
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>> So now it'll be Turnis doing the
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introing and then the people who are
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those
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>> I I Yeah, it's hard to know. It's hard
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to know. I'm wondering if they do a one
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more thing with the with the ultra with
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the phone, the foldable iPhone, cuz it
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usually they save the best stuff for
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like the end of the keynote.
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>> Totally.
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>> And I'm wondering if this is a big
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enough thing for them that they're going
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to want more thing it.
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>> I think a brand new $2,700
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iPhone Ultra seems like it's going to
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get a lot of attention. It'll probably
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>> 27. You think it's going to be 2,700?
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>> It's going to be so expensive. I mean,
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how Okay. It'll be at least $2,000.
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>> At least 2,000. I think it's going to be
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$199.99.
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That's as low as I'd be willing to go. I
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think the overunder should be like
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21.99.
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>> I could see that
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>> because I I think I would take the over.
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>> But if we're doing prices right rules,
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then I'm doing right
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>> 1999.
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>> Yeah.
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>> Yeah.
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>> 1998.
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>> Y'all are both crazy. There's no way.
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>> No way. It's that thing has to be more
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expensive.
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>> Apple is no longer the most expens like
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the super most expensive company
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anymore.
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>> They sell a lot of cheaper stuff now.
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>> Yeah. But they are also going to start
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selling more expensive stuff
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>> like the Fold.
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>> I think they're going to expand up. Like
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the Neo, they expanded down. This one
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they're just going to expand up.
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>> The Opoine N6, which is what I called
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peak foldable. It has that like super
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awesome almost creaseless display.
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>> Yeah.
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>> Uh retails for roughly $2,300 US.
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>> That sounds right
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>> with models in Australia and Asian
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markets.
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>> Yeah,
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>> I was going to say $23.99. It's my
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guess.
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>> That's I could see $24.99. I can picture
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the $24.99 dropping onto the stage and
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everyone going, "Oh,
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>> is she not $23.99?" Like it could be.
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>> I could also see that. Remember Turnis
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is the one who announced the $999 stand.
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>> Do you remember that?
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>> He got on stage and he was like, "And
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the stage and the and the stand will be
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$9.99." And everyone went, "Oh." And he
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just moved on. And that was that was
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Turnis.
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>> That was him getting jumped in. Man,
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that's not a great track record so far.
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>> Yeah. I imagine at Dubdub they're going
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to do something where Tim Cook will
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intro it. Everyone will be like and then
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he'll be like and I'm gonna move it over
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to John and then we're like oh and
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that's going to be cute and
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>> they could both be on stage. Maybe
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>> that could be cool.
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>> That's exactly what we said right
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>> dubdub. Usually it's Craig on stage
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because he's the head of software fed.
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>> So it'll be like Tim Cook and Craig
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Federigi will get on stage and they'll
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intro the event. Tim will start pass it
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to Craig then play the video.
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>> Yeah. I I still think it's it's gonna
00:05:40
they're gonna incorporate some Apple
00:05:42
product or service into the handoff
00:05:44
announcement. like like there's going to
00:05:45
be some video where like Tim Cook or
00:05:48
like like John Turnis is like on his bed
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on his stomach with his feet kicking the
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air and he's writing in his iPhone
00:05:53
journal app like boy I wish I could be
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CEO one day and then like like like
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>> yeah Tim Cook like air drops in through
00:06:02
the ceiling and he's like boy do I have
00:06:04
a surprise for you John Turnis
00:06:08
>> Tim Cook cosplaying as Tinker Bell oh I
00:06:10
would love that I would love that
00:06:12
>> amazing they've done less crazy things.
00:06:14
>> Yeah, I I would be here for it.
00:06:16
>> Like John Turner is in the kitchen
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preparing food and Tim Cook shows up.
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He's like, "This is your final cut
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before becoming CEO." Sorry,
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>> I like that.
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>> No, no, I also have an update from last
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week.
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>> Go ahead.
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>> And that is
00:06:31
Mariah. Hit the reverb.
00:06:34
The Philadelphia 76ers are still in the
00:06:37
NBA playoffs. That is right everybody.
00:06:39
We were down and then we were up and
00:06:41
we're still up 3 to2. one game behind
00:06:43
going right back to Boston. Boston, if
00:06:45
anyone in Boston is listening to this,
00:06:47
you're going down. And if you are
00:06:48
listening to this on Friday, you will
00:06:50
know we either lost on Thursday and I am
00:06:52
in the streets of Brooklyn crying my
00:06:54
eyes out or we won on Thursday and we're
00:06:56
taking this to game seven, baby. Also,
00:06:58
uh the Thursday's game is in
00:07:00
Philadelphia, so I was wrong about that.
00:07:01
But anyway, go Sixers. Sixers and seven.
00:07:04
The dream is not dead. We did not get
00:07:06
swept, Marquez. I'm impressed. I'm
00:07:09
impressed that you didn't get swept.
00:07:10
Thank you. Also, Joel Embiid.
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Yo, are you serious right now? That was
00:07:18
Mariah.
00:07:19
>> Oh my god. Joel Embiid. I capital L love
00:07:23
you. Oh,
00:07:26
how's team dude get such
00:07:30
dude? 761. So,
00:07:32
>> are you okay? You know, I I was I was
00:07:35
hanging out on 76ers Twitter this
00:07:37
weekend, and I I do really feel strongly
00:07:38
that
00:07:40
much like art, sports reflect life. And
00:07:44
there's something to be said about us
00:07:46
sports team winning and wanting to win,
00:07:47
cuz winning is like the point of sports.
00:07:50
But the complete nonsense chaos brand of
00:07:54
basketball that the 76ers employ in both
00:07:56
their front office and on the court, I
00:07:59
think is actually really indicative of
00:08:01
what it means to be alive in America
00:08:03
right now and what it means to never
00:08:05
give up and fight through everything
00:08:07
that's coming at you. And like I to me
00:08:10
it's like I don't need the 76ers to be a
00:08:12
championship team for them to be my
00:08:13
favorite. It's it's the fact that
00:08:15
they've taken me on this wild ride and
00:08:17
they've never given up and it's a bunch
00:08:18
of goofy characters doing Quinton Grimes
00:08:21
was full court guarding Jason Tatum for
00:08:24
no reason just just to harass him. You
00:08:27
know what I mean?
00:08:27
>> I like that.
00:08:28
>> It's sick. I love the 76ers. I love you
00:08:31
Joel Embiid.
00:08:32
>> Knicks fans will be excited either way.
00:08:34
>> Is Mike Baby on that team?
00:08:35
>> Are they the next in line to play the
00:08:37
winner of that series? I believe so.
00:08:38
Yes.
00:08:39
>> Yeah. So, the office is going to be has
00:08:41
the potential to be quite tense.
00:08:43
>> Yeah. Yeah, we got a little bit of both.
00:08:44
For those who are listening to audio
00:08:45
only, first of all, what are you doing?
00:08:47
Um,
00:08:48
>> no, I listen to audio.
00:08:50
>> Get to the video podcast. You can see
00:08:51
Ellis is wearing Sixers hat
00:08:52
>> and Adam is wearing a Nick hat
00:08:54
>> and uh yeah, so the the rivalry is in
00:08:56
the room.
00:08:56
>> Are they playing each other at any time
00:08:58
in the future?
00:08:59
>> If the Sixers uh surmount these
00:09:01
impossible odds,
00:09:02
>> then we will have the honor of kicking
00:09:04
them out the playoffs.
00:09:05
>> Yeah, Adam and I will be will be
00:09:07
beefing.
00:09:08
>> It's going to be good. It'll be good for
00:09:09
the pod. I'm rooting for that. So, a
00:09:10
normal day for you guys. Yeah.
00:09:12
>> All right. Well, uh, okay. We usually
00:09:15
do, did they even test this? I heard
00:09:16
that you came with one at
00:09:17
>> I did come with one. It's really quick.
00:09:18
It's not that it's I, you know, I'm sure
00:09:20
I'm not the only one to complain about
00:09:21
this. It's that, um, in Safari, the
00:09:24
greatest browser ever invented. My, my
00:09:26
latest gripe with Safari is that in
00:09:29
order to, you know, find on page, the
00:09:32
classic browser tool,
00:09:34
>> FRL F. Uh, that is in the share menu on
00:09:38
Safari.
00:09:39
>> What
00:09:39
>> doesn't make any sense. You open the
00:09:40
share menu. Oh, it's not there. You have
00:09:42
to view more and then it is the second
00:09:45
to bottom option.
00:09:46
>> That's disgusting. You know where it is.
00:09:48
You know it is where it is on Arc
00:09:49
Mobile.
00:09:50
>> Where is all the rest of the settings
00:09:51
where it's freaking supposed to be? It's
00:09:54
in all the settings and then boom find
00:09:57
on page. It's major major pin. It's a
00:09:59
major.
00:10:00
>> It should be. It's literally one of the
00:10:02
most useful things you can do in a brow.
00:10:03
>> It's literally the first major option.
00:10:06
>> So just start using this dead product.
00:10:08
Bellis.
00:10:09
>> So, come on.
00:10:10
>> Did they even test this? Almost
00:10:12
certainly, but I don't like the way you
00:10:14
decide.
00:10:15
>> They sometimes test things.
00:10:17
>> Why not put it?
00:10:17
>> And they're just usually wrong.
00:10:20
>> Our browser is actually way better than
00:10:22
Safari on mobile.
00:10:23
>> Yeah, it's really good.
00:10:24
>> It's It's just really good.
00:10:26
>> It's King.
00:10:28
>> Yeah.
00:10:28
>> All right.
00:10:29
>> What be mean?
00:10:30
>> Well, we're going to get into the actual
00:10:32
news this week. Um All right. I saw this
00:10:34
story yesterday. Yes. Thank you, Mariah.
00:10:37
Hey, that was me.
00:10:39
>> Uh, I saw the story this week. There's
00:10:41
actually a lot of Apple leaks going
00:10:43
around this week. One of them being that
00:10:44
they are adding a bunch of new AI photo
00:10:47
editing tools in iOS 27.
00:10:49
>> Interesting.
00:10:50
>> And two of them are pretty normal. One
00:10:51
of them I was surprised about. So stay
00:10:53
till the end to hear the most exciting
00:10:56
one.
00:10:56
>> Great retention hack.
00:10:57
>> Thanks. So the first one is Extend,
00:11:00
which is basically generative expand in
00:11:02
Photoshop.
00:11:03
>> Okay. Um, there also kind of surprised
00:11:06
that Apple's doing this because they've
00:11:08
had a harder stance in previous years on
00:11:10
what is a photo. You know,
00:11:13
>> they've, you know, they've added clean
00:11:14
up and people have felt weird about
00:11:16
that, but it didn't really seem like
00:11:18
they were going to go crazy on the photo
00:11:20
editing stuff, but they're apparently
00:11:21
adding extend allegedly. There's
00:11:24
enhance, um, which honestly just seems
00:11:26
like a better auto mode. It says uses AI
00:11:28
to automatically tweak color lighting
00:11:29
and other image parameters. But the one
00:11:31
that seems crazy um that Photoshop
00:11:34
actually just added and I just don't
00:11:38
know what the hell this is. It's called
00:11:40
refframe.
00:11:41
>> When used in spatial with spatial
00:11:43
photos, so if you have to take a spatial
00:11:45
photo to get this to work,
00:11:46
>> okay,
00:11:46
>> you can change the perspective of the
00:11:48
image after it's capture.
00:11:50
>> See this? I've Okay,
00:11:52
>> I have a feeling this is going to be
00:11:54
bad.
00:11:55
>> So my my question is like how much can
00:11:57
you change the perspective? Like can can
00:11:59
you be like make this a picture of the
00:12:01
back of them?
00:12:02
>> Well, this is my Well, so Photoshop can
00:12:05
currently do that.
00:12:05
>> Yeah,
00:12:06
>> that's a feature that just came out in
00:12:07
Photoshop. You can literally rotate any
00:12:10
photo and it'll just generate what it
00:12:12
should look like and then it create.
00:12:13
>> But this one,
00:12:14
>> is it people though? I thought it was
00:12:15
only objects. I could be wrong.
00:12:17
>> No, people too.
00:12:17
>> It is people too. Okay.
00:12:19
>> So, my question for this is it like
00:12:21
because you're taking a spatial photo,
00:12:23
it's using the wide sensor and the main
00:12:25
sensor. Can you just change the
00:12:27
perspective between that little parallax
00:12:29
that you get between the white and the
00:12:31
main or is it like you can rotate it
00:12:33
like fully?
00:12:34
>> That that was sort of my question about
00:12:35
all of this is like how how much are
00:12:38
they just going to like you know
00:12:42
>> diffusion transformer model their way to
00:12:44
like new information and how much are
00:12:45
they going to be capturing like quote
00:12:47
unquote metadata with the other two
00:12:49
cameras or the other camera and then
00:12:50
inputting that into a
00:12:52
>> probably a little bit of both. If you
00:12:53
always have the ultra wide frame going,
00:12:56
then you can always have extra
00:12:57
information about what's around what you
00:12:59
take a picture of with the primary
00:13:00
camera. So maybe if they're smartly
00:13:02
always capturing some of that
00:13:04
information around the outside edge and
00:13:05
then running it through a model and
00:13:07
including that in a slight refframe, I
00:13:09
could see that not being insane.
00:13:11
>> And that would allow the generative
00:13:12
expand to also use other things that
00:13:14
were actually there,
00:13:16
>> right?
00:13:16
>> Cuz the ISPs in these in these
00:13:18
smartphones, they have like two or three
00:13:19
now and they're they can just run all of
00:13:21
the cameras all the time. Yeah.
00:13:23
>> So maybe they're just sampling from
00:13:25
every sensor and then if you use
00:13:26
generative expand it, it stores that
00:13:28
metadata like in a compressed format.
00:13:31
>> Correct me
00:13:31
>> if I'm wrong, but the iPhone camera
00:13:32
system
00:13:34
>> excluding the single camera ones kind of
00:13:36
already do this, right? Like
00:13:37
>> like like every photo you take is
00:13:39
there's image data coming from the other
00:13:41
lenses, too.
00:13:42
>> Google first did that with like super
00:13:44
res zoom.
00:13:45
>> Yeah.
00:13:45
>> Um and I think Apple does that now as
00:13:47
well.
00:13:48
>> Didn't Google also do it? Like I vaguely
00:13:49
remember the original Pixels. I
00:13:52
>> think it was the Pixel 3.
00:13:53
>> Three. Okay. Yeah. Where it's like it's
00:13:55
just always taking pictures and then
00:13:57
when you press the button like the
00:13:58
shutter button, it just like saves that
00:14:00
one.
00:14:01
>> Well, that's the Nex that the Nexus XP.
00:14:03
That's just HDR. That's just HDR in
00:14:04
general.
00:14:05
>> Okay. But there's also like the live
00:14:06
photo thing where it's always running a
00:14:08
quick video in the background. And so if
00:14:10
you take a photo and someone's eyes are
00:14:13
closed or there's a funny thing
00:14:14
happening in that moment, you can like
00:14:15
watch the live photo and see the 3se
00:14:17
secondond video of that moment. Yeah.
00:14:18
>> So, it's always Yeah, it's always
00:14:19
capturing something.
00:14:20
>> And if you do take a live photo, I
00:14:22
suppose it has sort of like the micro
00:14:23
jitter of your hand and so there's a
00:14:25
little bit of a different perspective
00:14:27
there. It can use that information.
00:14:28
>> Whoa.
00:14:29
>> So, yeah. I mean, the Pixel already does
00:14:31
that.
00:14:31
>> Yeah. And the Pixel will I think they
00:14:33
also say they take the center of the
00:14:34
frame and add information from the
00:14:36
telephoto. So, like
00:14:37
>> it makes sense. They're just like slowly
00:14:39
pushing the limits of like what counts
00:14:41
as part of the original photo.
00:14:43
>> Yeah.
00:14:43
>> Okay. I'm curious whether or not they
00:14:45
like lean into the we are still thinking
00:14:48
about, you know, image like what is an
00:14:50
actual image.
00:14:51
>> Yeah.
00:14:52
>> No way. They already forgot about all
00:14:54
that.
00:14:54
>> Apple didn't really,
00:14:55
>> you know, Apple when I go to some of
00:14:56
these briefings, I don't know how much
00:14:58
I'm allowed to directly quote them.
00:14:59
Actually, I'm not allowed to directly
00:15:00
quote them, but a lot of the sentiment,
00:15:02
a lot of the sentiment is, you know, you
00:15:04
see what those other companies are doing
00:15:05
with these crazy AI generated adding
00:15:08
things to photos. We don't do that
00:15:10
intentionally because we try to keep the
00:15:12
original
00:15:14
thesis of capturing a moment that
00:15:16
actually happened.
00:15:17
>> Yeah.
00:15:17
>> And yes, you can erase people from the
00:15:19
background. Yes, you can tweak colors
00:15:20
and lighting, but it's it's a capture of
00:15:23
a moment that really happened. So, I
00:15:25
guess if you're changing the angle of
00:15:27
capture, you're not changing what
00:15:28
happened. If you're changing, what is
00:15:30
this? Extending maybe what's not
00:15:32
originally in the frame, but it's from
00:15:34
information that was really there. You
00:15:36
can keep that same philosophy without
00:15:38
violating your thesis.
00:15:39
>> Yeah,
00:15:40
>> I guess that makes sense.
00:15:41
>> That makes sense. Apple's also like the
00:15:42
least uh a tool is a tool tool
00:15:45
manufacturer of like the major tech
00:15:47
companies. I I mean it like like I do
00:15:49
feel like a lot of companies are like
00:15:50
we're trying to build these tools and
00:15:51
we're going to let people like you know
00:15:52
do crazy crazy things with them and and
00:15:54
Apple's a little bit more like we we
00:15:56
want to make cool tools but we don't
00:15:58
want to make anything that you could
00:15:59
potentially do anything evil with even
00:16:01
if that or nefar I shouldn't say evil
00:16:02
but like nefarious with
00:16:04
>> even if that means restricting our tools
00:16:07
more than other manufacturers.
00:16:08
>> Yeah. True.
00:16:08
>> Whereas Google's just like let it fly
00:16:10
baby. Yeah,
00:16:12
>> like Google would like show thing you
00:16:14
you could literally remember that you'd
00:16:16
have the kid on the bench with the
00:16:17
balloons and they just like slide them
00:16:18
over on the bench and you're like,
00:16:19
"Okay, now that's not a real thing."
00:16:21
Like everyone everyone watched that and
00:16:23
went, "Oh, they all thought of three
00:16:24
other things that they could change in
00:16:25
their head that would be completely
00:16:27
insane and not part of the original
00:16:28
capture."
00:16:29
>> So,
00:16:30
>> yeah, that they walk that line in a very
00:16:32
very different place than Google does.
00:16:34
>> Let's hear the story here.
00:16:35
>> I did. So, I I was at uh I was at game
00:16:37
four of the Sixers this weekend. Uh,
00:16:39
watch.
00:16:39
>> Did they win that one?
00:16:40
>> No, they did not. Spent $144 on the
00:16:44
worst basketball game I've ever seen.
00:16:46
Still love that team Six or the seven.
00:16:48
>> Um,
00:16:49
>> what happened to this podcast?
00:16:50
>> I'm I'm I'm on the subway. I'm on the
00:16:51
septa going back to catch my bus back to
00:16:54
New York. And um kid and dad both in
00:16:56
Celtics gear. Uh just Jesus Christ. But
00:17:01
they had taken a picture at the game
00:17:03
>> and uh they taken a picture at the game
00:17:06
and the kid and the dad very stoked head
00:17:09
to toe jerseys and the the dad's kind of
00:17:11
kind of bummed because uh there's like a
00:17:13
weird shadow across uh his face and the
00:17:17
photo is like kind of ruined, you know?
00:17:18
It was kind of thing where like a lot of
00:17:19
people crowded area, hey, can you take
00:17:21
this picture? They only have time for
00:17:22
one snap. They get out of there.
00:17:23
>> And the dad's like, "Damn, like I really
00:17:25
wanted to post this, but like you can't
00:17:26
really the shadow's really weird. You
00:17:27
can't really see my face. This is like
00:17:28
not a really good memory photo." And the
00:17:30
kid's like, "No, you can just edit it."
00:17:32
He's on a pixel. And the dad's like,
00:17:33
"No, that's not how photo editing
00:17:34
works." The kid's like nine, by the way.
00:17:36
Like like like clearly in elementary
00:17:37
school.
00:17:38
>> Just ask it to do it.
00:17:39
>> The dad's like, "No, no, like you can
00:17:40
raise the brightness, but then it'll
00:17:41
look really weird." And the kids's just
00:17:42
like, "Give me your phone." And he does.
00:17:44
And on the subway does like the I don't
00:17:46
know. I don't have a pixel, so I don't
00:17:47
know what tool, but he does the AI photo
00:17:49
enhance thing and like cleans up the
00:17:51
face shadow like that. The dad was just
00:17:53
like, "What
00:17:56
is this black magic?
00:17:57
>> What?" Like my phone could do. I was
00:17:59
like, "Oh, wow." So, like, not only are
00:18:01
people using these features, but like
00:18:04
>> children are like very aware of how
00:18:06
capable.
00:18:07
>> If I showed some of this stuff to my
00:18:08
dead grandma, like she would her mind
00:18:10
would be blown.
00:18:11
>> My grandmother recently passed away and
00:18:14
we have a video of my father
00:18:16
interviewing her many years ago about
00:18:18
her life story. So, I was going through
00:18:20
that video to try to like clean it up
00:18:22
because my dad used Windows some like
00:18:27
free tri Yeah. Windows Movie Maker. some
00:18:29
free trial thing that has a giant
00:18:30
watermark over it.
00:18:32
>> So, I spent like a hundred something
00:18:34
dollars on some weird AI video editing
00:18:37
tool to like remove that watermark and
00:18:38
it did, but there are parts where the
00:18:41
watermark was over her face and it just
00:18:42
like completely warped it into some
00:18:46
>> like demonic looking thing.
00:18:48
>> So, I am very skeptical about these
00:18:50
tools with human faces in particular.
00:18:52
Like that's a real touchy area because
00:18:55
if it does it in the wrong way, it just
00:18:57
like completely ruins the memory.
00:18:58
>> Human faces. I think that we're
00:19:00
particularly attuned at noticing the
00:19:02
patterns on what people's faces look
00:19:03
like. So like you know if Marquez gets
00:19:05
generated on Gemini or whatever and it's
00:19:08
like it looks 98% like Marquezified
00:19:12
>> but that's not quite Marquez. I
00:19:14
>> you can always notice, you know,
00:19:16
>> I spend so much time looking at
00:19:17
Marquez's face professionally that um
00:19:20
>> and personally,
00:19:21
>> respectfully.
00:19:22
>> Respectfully, no. That when you get shot
00:19:24
on unusual focal lengths, I'm like like
00:19:27
something's not that you look bad, but
00:19:29
it's just like I'm so used to seeing you
00:19:31
between 30 and 60 mm that when I see you
00:19:34
on a telephoto or I see you on an ultra
00:19:36
wide, I'm like
00:19:37
>> I that I I do that to my I look in a
00:19:40
mirror and I look at like the swapped
00:19:42
version and that looks weird to me
00:19:43
still.
00:19:43
>> Yeah. Yeah.
00:19:44
>> Uh remember when Samsung there was all
00:19:46
that talk about how you could erase an
00:19:48
object in front of your face and it
00:19:49
would regenerate your face and it would
00:19:50
actually look good about that.
00:19:53
>> Like
00:19:54
>> people on one hand hate that Samsung has
00:19:58
to know a lot about your face to do that
00:20:00
really good regeneration of your face.
00:20:02
But on the other hand,
00:20:03
>> it works the best.
00:20:05
>> Yeah.
00:20:06
>> For that particular use case.
00:20:07
>> I mean it's the whole the more context
00:20:09
you give it, the better it's going to
00:20:10
be. But that means you have to give it
00:20:12
more of your information and data.
00:20:14
>> That's how it goes.
00:20:15
>> Um, okay. There's another Mark German
00:20:17
leak that Apple is working on. So, he
00:20:19
went on um TVPN, which if people don't
00:20:21
know, it's OpenAI's propaganda outlet.
00:20:23
>> Oh,
00:20:24
>> hit the air horn. Hit the air horn. That
00:20:25
was fire.
00:20:26
>> Where is it?
00:20:26
>> It's the There we go.
00:20:28
>> Thanks, Al. He went over six different
00:20:29
new product categories that Apple is
00:20:31
allegedly working on.
00:20:33
>> So, I want us to talk about each of
00:20:34
these.
00:20:35
>> Yeah.
00:20:35
>> Yeah. All right.
00:20:37
>> Number one.
00:20:38
>> Mhm. AI AirPods.
00:20:40
>> Here we go.
00:20:41
>> Why?
00:20:42
>> What is that?
00:20:42
>> I don't know.
00:20:46
>> I can tell you there is some AI in
00:20:48
AirPods already.
00:20:49
>> Yeah.
00:20:50
>> But what this means is something
00:20:51
actually a little more insane, right?
00:20:53
This is the cameras and the AirPods,
00:20:54
right?
00:20:55
>> Probably.
00:20:56
>> Oh, this is like the the humane AI pods.
00:20:59
>> So, right now AirPods can do live
00:21:02
translate type stuff with AI. They can
00:21:04
they they do cuz they've always called
00:21:05
it machine learning and neural nets and
00:21:07
stuff like with active noise
00:21:08
cancellation, transparency mode and all
00:21:09
the like
00:21:10
>> stuff that they do with processing with
00:21:12
the compute on AirPods.
00:21:14
>> Yeah.
00:21:14
>> But AI AirPods is adding sensors and
00:21:17
more compute to these things to make
00:21:18
them like almost a little more
00:21:20
standalone of like an AI thing.
00:21:22
>> Totally.
00:21:23
>> I don't know how I feel about that.
00:21:25
>> Yeah. I don't want cameras on my
00:21:27
earbuds.
00:21:28
>> Yeah. I will say
00:21:29
>> I also I will I think we should preface
00:21:31
this by saying these are all things that
00:21:32
they could be working on. Not
00:21:33
necessarily guaranteed upcoming
00:21:35
products.
00:21:36
>> There's for sure tons of crazy
00:21:38
unannounced unreleased products
00:21:40
underground in Apple Park somewhere that
00:21:42
will never see the light of day. This
00:21:43
could be six of those,
00:21:45
>> but they're at least thinking about it.
00:21:47
>> Yeah. So yeah, AI AirPods.
00:21:49
>> You have any thoughts, Ellis? Um my
00:21:51
thought I have two thoughts and they're
00:21:53
actually in like direct contradiction
00:21:55
with one another which is if argue with
00:21:57
yourself
00:21:58
>> if if it's a camera you know what is
00:22:01
this style AI product that has happened
00:22:03
has a headphones in I feel like they
00:22:05
will almost definitely release uh like a
00:22:07
necklace pendant
00:22:08
>> well that's later on the list
00:22:11
>> oh
00:22:12
>> so we'll talk about that in a bit
00:22:13
>> well the one so the thing that these are
00:22:16
closest actually to in terms of
00:22:18
functionality would be like the meta
00:22:19
glasses.
00:22:20
>> So that that was my other point which is
00:22:21
like as much as I would love to see
00:22:23
these as a pendant just because I think
00:22:25
Apple is generally really good at
00:22:26
wearables, I also think like this is
00:22:30
personal opinion time. I think the Meta
00:22:32
Glasses are like
00:22:34
>> possibly the the worst idea of a product
00:22:37
in like the last 10 years. And so it's
00:22:39
just like I would hate for Apple to get
00:22:41
in on the the always on camera privacy
00:22:45
nightmare we don't care about you train.
00:22:48
So, here's where I'll push back a little
00:22:51
bit. The the meta, all the stuff we've
00:22:53
heard about meta has a lot to do with
00:22:54
privacy and how the data has been
00:22:56
treated.
00:22:56
>> Yeah.
00:22:57
>> And the one thing that Apple has always
00:22:58
been on the I'd say correct side of the
00:23:01
line is how they treat your data, which
00:23:02
is
00:23:03
>> I most of it never leaving the device,
00:23:04
most of it being treated very securely.
00:23:06
>> Yeah. If it does leave the device, it's
00:23:07
encrypted to all hell.
00:23:09
>> Right. So, if they can offer the same
00:23:11
functionality that Meta is with the
00:23:12
glasses, which is potentially being able
00:23:15
to ask something about what you're
00:23:16
standing in front of. I'm standing in
00:23:17
front of this monument, but I I'm hard
00:23:19
of hearing or I don't have great
00:23:20
eyesight. Tell me what I'm I'm about to
00:23:22
like be looking at. Stuff like that
00:23:24
could without having glasses on could
00:23:26
give you the same functionality and
00:23:28
deliver it directly into your ears.
00:23:29
>> It is true. The fact that you need to be
00:23:31
wearing these glasses in order to get
00:23:32
the contextual information is pretty
00:23:34
annoying. And in at least in Brooklyn,
00:23:37
if you are walking down the street, you
00:23:39
are wearing headphones. And the one
00:23:41
thing Apple has been incredibly good at
00:23:43
for a long time is introducing a new
00:23:45
thing for you to use slashwware that
00:23:46
looks kind of silly at first and then
00:23:48
it's everywhere and everyone's used to
00:23:49
it. When AirPods first came out with a
00:23:51
long long white stem, we all made fun of
00:23:53
that for so long and then it was just
00:23:56
everywhere.
00:23:56
>> I found a tweet from even more than 6
00:23:58
years ago when those came out and I was
00:24:00
I was hard
00:24:02
>> cuz they looked ridiculous.
00:24:03
>> Well, I was wrong about that.
00:24:05
>> They objectively I think you were right.
00:24:06
I think they do.
00:24:08
>> They objectively look ridiculous, but
00:24:10
everyone's wearing them. They don't look
00:24:11
>> the first one. Gen ones still look
00:24:13
stupid in my opinion
00:24:14
>> with the long stem.
00:24:14
>> The long stem.
00:24:15
>> The long
00:24:16
>> the long
00:24:17
>> They did shorten the stem. Short stem is
00:24:19
fine.
00:24:19
>> I think I was a freshman in college when
00:24:21
they came out and I just remember them
00:24:23
instantly becoming a status symbol
00:24:25
>> because it's not like they were super
00:24:27
expensive, but they were pretty
00:24:28
expensive. And it was still like when
00:24:30
they came out the big question was like,
00:24:32
how are you not going to lose these?
00:24:34
So it became like a I'm wealthy enough
00:24:36
to lose these then buy another one of
00:24:41
I actually I I take back what I said
00:24:43
Marquez because you are right like I do
00:24:44
think if Apple did make the I'm always
00:24:46
pointing a camera at something they they
00:24:48
would hopefully keep that in line with
00:24:50
their
00:24:51
>> current data practices. Um but I have
00:24:54
trust issues. Well, everybody, this is
00:24:57
kind of what I think they're going to
00:24:58
struggle with is anytime Apple is going
00:25:00
to have a camera that is always pointed
00:25:02
at people, even if they have all of
00:25:04
these security practices and all of
00:25:06
these things about we only use it if you
00:25:07
give it these permissions and we only
00:25:09
use it when you say these certain
00:25:10
commands,
00:25:11
>> people are going to feel nervous. Like
00:25:12
remember when the Air Tags came out and
00:25:14
for like 6 months people were like I'm
00:25:16
going to be stocked with these, you
00:25:17
know, so
00:25:19
>> yeah,
00:25:19
>> which is a a real problem. Yes. Which is
00:25:22
a real problem. Yeah,
00:25:23
>> I have it's not necessarily trust
00:25:25
issues. It's more that the practical way
00:25:28
these products work, they're going to
00:25:30
have a leak at some point, right?
00:25:32
Because there's going to be something
00:25:33
that the camera doesn't understand and
00:25:34
there's going to have to be a third
00:25:35
party human looking at it to decipher it
00:25:37
to make the models better.
00:25:39
>> Moving forward,
00:25:40
>> Apple do
00:25:42
I want to see how they're going to
00:25:43
navigate it. I think that's the reason
00:25:45
it's like a double-sided or double-edged
00:25:47
sword. Like that's the reason Apple's AI
00:25:49
has been so poor is because they don't
00:25:51
do that. Yeah.
00:25:51
>> So their models are so far behind
00:25:53
because they're not improving in that
00:25:54
way.
00:25:55
>> And so you get the benefit of having
00:25:57
that extra privacy, but you have these
00:25:59
far worse, far smaller models with way
00:26:01
less information.
00:26:02
>> Maybe what they'll do is they'll take
00:26:04
the image and then they'll send it to
00:26:05
their like private cloud compute that's
00:26:07
running the Gemini and then Gemini will
00:26:10
parse it and then send it back to your
00:26:12
your
00:26:12
>> or or maybe they're just trying to build
00:26:14
a quick snap camera. You know, the the
00:26:16
most popular feature from everyone I've
00:26:18
talked to who owns Meta Glasses is just
00:26:19
being able to take pictures and videos
00:26:21
of and see it.
00:26:23
>> Nobody really cares about the AI part.
00:26:25
>> What is the angle like from the side of
00:26:27
your head?
00:26:28
>> Oh, you think they'd be on I assume they
00:26:30
would be on the
00:26:31
>> Oh, no. On the case.
00:26:32
>> On the case.
00:26:33
>> Oh, no. I think the the rumor is that
00:26:34
they're in the stems.
00:26:36
>> Well, well then wouldn't it just you're
00:26:37
That's just
00:26:38
>> eyes.
00:26:39
>> Yeah, that's the point.
00:26:40
>> Exactly. Just like the metal glasses. So
00:26:42
this So they're they're operating at
00:26:44
your field of view and can look at what
00:26:45
you're looking at.
00:26:46
>> I I totally assumed it would be like a
00:26:48
lanyard
00:26:49
>> like on your ears like what about my
00:26:51
hair?
00:26:52
>> Yeah, there's a lot of questions.
00:26:53
There's a lot of questions.
00:26:55
>> Ellis, I actually like your opinion like
00:26:57
thought process on it cuz it would make
00:26:59
a lot of sense to put it on the case cuz
00:27:01
then you're not, you know, having a
00:27:03
camera looking at people.
00:27:04
>> That was a rumor though that potentially
00:27:07
Apple was going to do a camera in the
00:27:09
Apple Watch. If it if the if picture
00:27:11
this solves the hair thing, right?
00:27:12
Because if the cameras were instead of
00:27:14
being on the stock were on the outside
00:27:16
of the bud facing like perpendicular to
00:27:18
your eyes, you would in order to like
00:27:21
look at something, you'd go move your
00:27:22
hair back and go.
00:27:24
>> That's actually true.
00:27:25
>> I'm hearing images right now.
00:27:27
>> And could Apple make that a thing that
00:27:29
people think is normal?
00:27:30
>> Probably.
00:27:31
>> Maybe. Uh, for audio listeners, I just
00:27:33
uh pretended to brush my hair back and
00:27:35
did the most cartoony I'm listening to
00:27:38
something cupping ear possible.
00:27:39
>> Point your ear at the thing.
00:27:40
>> So, well,
00:27:42
>> um, there's a lot more products on this.
00:27:43
>> There's five more products. We really
00:27:44
got to run through this. So,
00:27:46
>> number two, smart glasses. We know
00:27:47
they've been working on these for a very
00:27:49
long time. This seems pretty
00:27:50
straightforward.
00:27:52
>> I don't think there's really a lot to
00:27:53
talk about there.
00:27:54
>> Well, I guess it's will they have
00:27:55
displays or not, which is
00:27:56
>> I don't think they're going to have
00:27:57
displays. I think they'll start with no
00:27:58
displays and they'll eventually make a a
00:28:01
one with displays.
00:28:02
>> Yeah.
00:28:02
>> Yeah.
00:28:03
>> It just shows your notifications or
00:28:04
something. I don't know.
00:28:05
>> I do have one interesting thing to say
00:28:06
about the smart glasses, which is
00:28:08
probably going to have like a million
00:28:09
people in the comments being like, "You
00:28:10
have no idea what you're talking about."
00:28:12
But Apple loves aluminum. Aluminum is
00:28:15
really cool because it is strong and
00:28:17
light, but it is also bendy. And if we
00:28:20
learned one thing from talking to the
00:28:22
Meta Glasses engineers, it's that bendy
00:28:24
smart glasses with displays are not
00:28:26
good.
00:28:27
>> They need rigidity.
00:28:28
>> Um, and so I wonder what they're going
00:28:29
to make them out of if they do have
00:28:30
displays. That's my That's my two cents
00:28:32
rubbing those pennies together. Uh, up
00:28:34
next was a smart display.
00:28:36
>> Yeah. So, this is basically it's like a
00:28:38
home display. It's it
00:28:39
>> Oh, it's like the the
00:28:41
>> Yeah, it's like a Google Nest uh Nest
00:28:43
Hub. Home Hub. Nest Hub. It's the one
00:28:45
they've had in the basement of Apple
00:28:47
Park just like waiting to be released
00:28:49
for a decade.
00:28:50
>> Homeod it's it feels so obvious like the
00:28:53
HomePod sits there. It's a nice speaker.
00:28:55
You have a HomePod mini cuz HomePod
00:28:57
wouldn't sell cuz it's a bazillion
00:28:58
dollars. So then you have a $99 HomePod
00:29:00
mini
00:29:01
>> that's still hundred bucks. It's still
00:29:03
just Siri. What if you could control
00:29:05
your HomeKit stuff and and press buttons
00:29:07
instead of relying on Siri? It seems so
00:29:09
obvious that Yeah. I have a Nest Hub
00:29:12
Mini and a and a home what is it?
00:29:15
HomePod mini. I have both of them.
00:29:18
>> Yeah.
00:29:18
>> New next to each other.
00:29:19
>> Yeah.
00:29:20
>> Because I like the I like the display.
00:29:22
You know, it would be very obvious. Um I
00:29:24
don't know they haven't done that yet,
00:29:25
but an extension of that is their
00:29:28
tabletop robot that they've been working
00:29:30
on, which is effectively like an iPad on
00:29:33
a little robot thing that can like move
00:29:35
around and point at you and do stuff
00:29:37
like that. This has been rumored for
00:29:39
quite a while at this point. I never got
00:29:41
this one. What does it Okay, I get what
00:29:43
an iPad does. I I'm picturing it on a
00:29:46
table connected to an arm so it can
00:29:48
point in different directions. Why would
00:29:49
I want it to be on a table connected to
00:29:51
an arm?
00:29:53
>> Um I think
00:29:55
>> Oh. Oh,
00:29:56
>> like the center stage camera already
00:29:57
lets me have a FaceTime call and walk
00:29:59
around.
00:30:00
>> No, no, no, no. So, I I I have a thing
00:30:03
to add to this. Do you remember a year
00:30:04
and a half, maybe two years ago, Apple
00:30:06
released that research paper on
00:30:08
animatronic motion?
00:30:10
>> Do you guys remember this?
00:30:11
>> Yes.
00:30:11
>> They built this smart lamp.
00:30:13
>> Yes.
00:30:13
>> And they did all of this testing to see
00:30:15
what kind of moves does this robot lamp,
00:30:18
it's sort of like a Pixar lamp.
00:30:19
>> Yeah.
00:30:19
>> And what kind of moves does it need to
00:30:20
make to make people like it? And they
00:30:22
discovered that in order to make people
00:30:23
like the lamp, actually, these nonlinear
00:30:25
sort of extra artsy dancy moves
00:30:29
>> were really So, I wonder if this is the
00:30:31
culmination of all of that. So, I mean,
00:30:34
considering they used to own Pixar, they
00:30:36
have some lineage there. Be fun.
00:30:38
>> You remember the what what was the phone
00:30:39
that just came out? The AI
00:30:41
>> uh little gimbal on a
00:30:43
>> Oh, the Honor Honor robot phone.
00:30:45
>> The Honor robot phone did that?
00:30:47
>> Yeah.
00:30:48
>> It's a I guess it's a concept phone.
00:30:49
It's not like a retail phone, but it it
00:30:51
had this gimbal with a camera on top of
00:30:53
it, and it would also kind of give you
00:30:55
these like little nods and shake its
00:30:57
head at you, and it would give you
00:30:58
>> not fully anthropomorphic looks, but it
00:31:01
would kind of have a face type of thing.
00:31:03
>> Still still kind of weird. Yeah, I'm not
00:31:05
really sure what Apple's angle on this
00:31:07
is.
00:31:07
>> Yeah,
00:31:08
>> to be honest,
00:31:08
>> I don't I don't understand that product
00:31:09
to be honest.
00:31:10
>> I think it would be cool.
00:31:11
>> I Yeah, I guess I sort of agree with
00:31:13
you. The the lamp was really cool. like
00:31:15
um uh the lamp was really cool because
00:31:18
>> uh it had this sort of ability to you
00:31:20
could direct where it was what it was
00:31:22
illuminating with all sorts of like
00:31:23
gestures and commands and it would just
00:31:25
sort of seem like the most fun
00:31:27
futuristic lamp you could buy, but I
00:31:28
don't know if it has a if it's going to
00:31:30
have like a grasper
00:31:32
>> or or or what.
00:31:33
>> I don't think it's supposed to have a
00:31:34
grasp thing like a like a claw.
00:31:37
>> Yeah, they basically made a Pixar lamp.
00:31:39
Oh my god. in real life.
00:31:40
>> If it is actually a lamp and it has a
00:31:42
display with speakers, I would use this.
00:31:44
>> If it was a lamp, I would buy it. This
00:31:46
would be like an $800 probably. If it
00:31:48
was a lamp, I'd be stoked.
00:31:49
>> I don't think it's a lamp just because
00:31:51
they I don't think it's
00:31:52
>> they, you know, this is on Apple's
00:31:53
website. Like they
00:31:54
>> This is something that they
00:31:55
>> machine learning research
00:31:56
>> they did.
00:31:57
>> Uh you should read this paper. It's it's
00:31:59
really cool. Like the they did a lot of
00:32:00
research into like
00:32:02
>> to in order to move 6 in to the left, do
00:32:04
you do it linearly? How do you ramp the
00:32:06
speed?
00:32:07
animation like back and then sw
00:32:10
like it's really cool
00:32:11
>> to make it friendly. Yeah.
00:32:12
>> Yeah. Um also just want to say if they
00:32:13
release the the HomePod with a screen
00:32:15
they're going to call it the home pad.
00:32:17
Yeah.
00:32:17
>> Um
00:32:17
>> that's just one of
00:32:18
>> actually been the leaked name.
00:32:20
>> God. Sorry.
00:32:22
>> Alice thought he was making a very
00:32:23
clever prediction joke. But that's
00:32:26
probably what it's called.
00:32:26
>> If you search homepad it'll come up.
00:32:28
>> No way.
00:32:29
>> Yeah. Sorry.
00:32:30
>> Security camera.
00:32:31
>> No. Actually, actually we skipped
00:32:32
pendant by accident.
00:32:34
>> Well, we did skip pendant. I mean, we
00:32:36
kind of pendant necklace. It's another
00:32:38
version of let me put a sensor on you
00:32:40
that you can wear all the time. It's not
00:32:42
glasses. It's not on your AirPods, but
00:32:43
it's around your neck. Uh, works in
00:32:45
fashion. You put a nice Hermes necklace
00:32:48
or whatever. I don't know who makes
00:32:49
necklaces, but you put a a fashion
00:32:50
accessory around your neck and then that
00:32:52
is your little
00:32:53
>> AI accessory from Apple.
00:32:55
>> Chokers are back, baby.
00:32:56
>> Choker.
00:32:56
>> No,
00:32:57
>> Apple choker.
00:32:58
>> Dude,
00:32:58
>> you say that, but someone's going to do
00:33:00
that.
00:33:00
>> I know, but AI choker just sounds like
00:33:02
the way we alpha. It's going to already
00:33:06
being made. The thing about this is they
00:33:07
kind of tried to make the Apple Watch
00:33:09
fashion, you know, they made Well, they
00:33:10
really did. They really tried to make it
00:33:12
fashion.
00:33:12
>> The gold one.
00:33:13
>> Well, all of them really. They But then
00:33:15
eventually the Apple because all the
00:33:18
Apple watches look exactly the same like
00:33:20
the shape of them.
00:33:21
>> I never really want to wear mine anymore
00:33:23
cuz it just looks like what everyone
00:33:24
else is wearing. It accidentally Yeah,
00:33:26
it was funny before. So, it started off
00:33:28
there were no Apple watches. There were
00:33:29
some smart watches and they were kind of
00:33:30
dorky. So Apple there were no beginning
00:33:34
>> they were like watches are fashion. So
00:33:36
if we are going to sell a watch as Apple
00:33:39
the cool tech company it needs to be
00:33:41
fashionable. So they made the Apple
00:33:42
watch edition. They had a gold one. They
00:33:45
had this Hermes collection of watch
00:33:47
bands. They had all these accessories
00:33:48
and they very much uh marketed it and
00:33:51
presented it as a fashion accessory that
00:33:53
happens to be connecting to your iPhone.
00:33:56
>> Fast forward to today it is everywhere
00:33:59
like you said. So now it's less fashion,
00:34:01
more utility. I remember having that
00:34:04
like random Kevin Olir interview pop up
00:34:06
on my feed every once in a while where
00:34:07
he's like,
00:34:08
>> I wear this extremely nice watch and I
00:34:11
wouldn't be caught dead wearing that
00:34:12
Apple Watch cuz that's
00:34:14
>> that says I'm 50% off and I I have this
00:34:17
incredible time piece I love and I'm
00:34:18
like that's how people who appreciate
00:34:20
fashion watches think of the Apple Watch
00:34:22
now. So it's flipped.
00:34:23
>> Yeah. But yeah, it's been it's been one
00:34:26
of those things that just has a ton of
00:34:27
>> Well, so my question is like if you make
00:34:29
a pendant and they all look the same. I
00:34:31
mean, part of the part of the reason
00:34:33
people wear necklaces is because they're
00:34:35
unique and different
00:34:36
>> fashion.
00:34:36
>> So, it's kind of insane to like release
00:34:39
one necklace that looks exactly
00:34:41
>> just different chains.
00:34:42
>> Yeah, but that's not enough
00:34:43
differentiation, I don't think.
00:34:44
>> I mean, with the Apple Watch, you just
00:34:45
changed the band.
00:34:46
>> Okay.
00:34:47
>> What if it goes the What if it goes the
00:34:48
way of AirPods? The little white ball is
00:34:51
a status symbol. the way AirPods were.
00:34:55
>> And it's the I have an iPhone necklace,
00:34:57
but then you get to fashion accessorize
00:34:59
it with a different chain.
00:35:00
>> I think enough if that's enough.
00:35:02
>> Unfortunately, people
00:35:04
>> But okay, wait, we keep omitting a part.
00:35:06
What does it do?
00:35:08
>> Nothing.
00:35:08
>> Yeah, right. That's
00:35:09
>> I mean always record endlessly gathering
00:35:13
context and offering you like the AI
00:35:16
assistant the same way the meta glasses
00:35:18
AI assistant has content.
00:35:19
>> I have a feeling it won't have a camera.
00:35:21
Yeah, probably doesn't need
00:35:22
>> the pendant. I think is just going to
00:35:24
have like a noise. It'll it'll do all
00:35:26
the other biometric stuff that you need
00:35:27
to know like are you in allow an
00:35:28
environment. Are how many steps is have
00:35:31
a pedometer in it? It'll
00:35:32
>> Yeah. Is it going to listen to
00:35:33
everything you say?
00:35:33
>> I doubt it.
00:35:34
>> It's just going to listen to the
00:35:35
keyboard. I think it'll have like
00:35:36
temperature sensor and like a loudness
00:35:39
sensor and it'll just be all this things
00:35:40
that it's like your ambient environment
00:35:42
and that way it can be put into your
00:35:44
health app and then eventually cuz
00:35:46
they're eventually going to like move
00:35:47
further and further into the health
00:35:49
stuff and try to like you know say oh
00:35:51
I've known every environment that you've
00:35:53
been in in the last month and now you
00:35:55
can give that data to your doctor and
00:35:56
then your doctor can tell you if you
00:35:58
know you I don't know have been going to
00:35:59
too many concerts. No, no, no. What's
00:36:01
it? It'll be It'll give your data to
00:36:03
your doctor and your doctor's AI will
00:36:05
>> That's true.
00:36:06
>> We'll parse through it.
00:36:07
>> I'm not sure. I think all of these new
00:36:08
products sort of beg this are beginning
00:36:10
to beg this question of what cognition
00:36:14
are you willing to offload.
00:36:17
>> And I'm not sure context is the kind of
00:36:20
cognition I want to offload. I'm not
00:36:22
saying it's a bad thing if that is, but
00:36:24
like the whole this whole idea of like
00:36:26
it'll it'll just be constantly capturing
00:36:28
your day and all the things you hear and
00:36:29
stuff like that. Like I get it in in
00:36:31
theory, but I I feel like I I do find
00:36:34
just like remembering what happened in
00:36:36
my day and reynthesizing it later. And
00:36:39
the kind of cognition that I'm more okay
00:36:40
offloading is like what's the the best
00:36:42
way to organize this div class in a in
00:36:45
an HTML doc? I'll offer you Adele's
00:36:47
advocate because I think a lot of uh
00:36:49
Apple's best products come with a great
00:36:52
ad that demonstrates like how they
00:36:55
expect people to use it, like the use
00:36:56
case for it.
00:36:58
>> And human memory, everyone knows, is
00:37:00
inherently a little bit flawed.
00:37:02
>> Yeah.
00:37:02
>> And so there's going to be the use case
00:37:03
of like, Siri, where did I leave my blah
00:37:06
blah blah? And it's going to go, oh,
00:37:07
last place I saw that was Blair. And you
00:37:09
go
00:37:10
>> find it and it's like, ah, I'm so glad I
00:37:12
had this context gathering thing that
00:37:13
remembers it cuz I didn't remember it.
00:37:15
And that's an ad and that's a use case
00:37:17
and that's a oh I think I might want to
00:37:19
buy this.
00:37:19
>> Well in the first like year of chat GBT
00:37:21
every AI like startup company was some
00:37:24
sort of just context necklace.
00:37:26
>> Yeah. You know yeah I I just think we
00:37:28
should be aware cuz I do kind of believe
00:37:30
that when you offload the forms of
00:37:33
cognition to the AI you lo you lose them
00:37:36
and you have to retrain them if you want
00:37:38
them back you know. And I do think we
00:37:39
have to start asking ourselves like what
00:37:41
are we okay losing? Cuz as soon as you
00:37:43
start put as soon as you dawn the
00:37:45
pendant
00:37:46
>> and you begin not being as aware cuz you
00:37:50
can sort of just be like oh the pendant
00:37:51
will remember that. I think you will
00:37:52
very quickly realize that your
00:37:54
short-term memory is just gone.
00:37:55
>> Yeah. There's been studies already
00:37:56
showing this.
00:37:57
>> Yeah. And so I think I do think as as
00:37:59
cool as the idea of I will never lose my
00:38:01
keys again will be, um I do think we
00:38:04
need to start asking ourselves that
00:38:05
question. Am I willing to lose this part
00:38:08
of my brain? And there are parts again
00:38:10
>> I've already decided which parts I got
00:38:12
rid of.
00:38:12
>> Yeah, I I do not want any mental space
00:38:15
taken up by how HTML works.
00:38:18
>> I am totally fine letting
00:38:19
>> everyone will have a different everyone
00:38:21
will have a different line in the sand
00:38:22
for what they're willing to offload.
00:38:24
>> Yeah,
00:38:24
>> I have my tasks app that I fully rely
00:38:26
on. If I don't write it down, I'm not
00:38:28
going to remember. And I know I won't
00:38:30
remember. And I know that if I write it
00:38:32
down, I will. And that's that's where my
00:38:34
line is for some people. When I go
00:38:35
through a briefing and I need to
00:38:36
remember all the little details of
00:38:37
something, I take my notes. Some people
00:38:40
specifically use AI tools to take notes
00:38:41
on meetings. That's the thing that it's
00:38:43
good for. You get a sum give you a
00:38:44
summary at the end and that's why you
00:38:46
use it.
00:38:47
>> So
00:38:47
>> yeah. Well, speaking of capturing other
00:38:49
people doing stuff, the last item on
00:38:52
this list is a security camera, which
00:38:56
>> I mean, I like it going back to what
00:38:57
Adam said earlier because now we know
00:39:00
that the Ring cameras are just cyber
00:39:03
security nightmares and like
00:39:05
unbelievably easy to hack into. So, I
00:39:07
would hope that we get the the Apple
00:39:10
encryption treatment on the Apple
00:39:11
camera.
00:39:11
>> That would be nice. That would be a big
00:39:13
up for them. A lot of people would
00:39:14
probably like that. The other thing is
00:39:15
that they just have not pushed into
00:39:17
smart home stuff almost at all.
00:39:20
>> They're like the hub but none of the
00:39:21
accessories.
00:39:22
>> Yeah. Like made for HomeKit is this like
00:39:24
overly convoluted like thing where they
00:39:27
have to approve everything that gets the
00:39:29
made for HomeKit badge and like they're
00:39:31
way more strict about it versus like
00:39:33
Amazon and Google. The reason that they
00:39:35
were supporting matter so heavily is
00:39:37
because the amount of products that are
00:39:38
that work with HomeKit is way way less
00:39:42
>> than like you know Google's like in the
00:39:43
middle there where they have some made
00:39:45
for Google Assistant or whatever
00:39:47
>> and then Alexa's like let's go baby just
00:39:50
keep slapping it on.
00:39:51
>> So they were happy to have the Matter
00:39:53
products. It makes more sense for them
00:39:55
now to actually get into their own
00:39:57
product category game cuz they could I
00:39:59
mean they could dominate with a lot of
00:40:00
home stuff. This this to me felt like
00:40:03
another obvious one. Like they make the
00:40:05
iPhone which has a great camera and also
00:40:07
a smart camera experience and then
00:40:09
obviously they make the home hub and
00:40:11
then they can have it connected.
00:40:13
>> Just it feels so obvious. It's huge.
00:40:15
>> Yeah. And then put the screen on the
00:40:17
HomePod so I can see my feed. So when
00:40:18
someone rings the the Apple doorbell, I
00:40:20
get the feed from the video. Yeah. Look
00:40:22
at that.
00:40:22
>> Maybe that's what the the robot is for.
00:40:24
So when someone rings your doorbell,
00:40:25
it'll swivel over to you and be like,
00:40:27
"Hey, look, it's John Turtis at your
00:40:29
door."
00:40:29
>> Yeah. He wants to be CEO.
00:40:31
>> Is the A18 going to be in everything?
00:40:33
Are we like a few years down the road,
00:40:35
are we just going to live in a a giant
00:40:37
sea of A18 chips?
00:40:38
>> I mean, they barely have enough for the
00:40:40
Neo right now. So, yeah, they put them
00:40:42
in the studio display.
00:40:43
>> Yeah, that's what I'm saying.
00:40:44
>> There's a whole iPhone in your display.
00:40:46
>> Yeah. If you if you have a if you have
00:40:48
an iPhone and a studio display and a
00:40:50
MacBook Neo,
00:40:51
>> you have three.
00:40:52
>> You have three like identical devices
00:40:54
right there.
00:40:54
>> Yeah. 18 18 Pro. Oh, no. Yeah. So, base
00:40:58
iPhone.
00:40:59
>> Yeah. base iPhone
00:41:00
>> and then a studio display non XDR is
00:41:01
also an A18.
00:41:02
>> Is there an M chip? No, there's an A18
00:41:04
in this, right?
00:41:05
>> Yeah, there's an A18 in that. The Pro
00:41:07
iPhone has A18 Pro though.
00:41:08
>> Okay.
00:41:09
>> A A19 Pro, actually.
00:41:11
>> A 19 Pro.
00:41:12
>> So, you have an A19, an A18, and another
00:41:14
A8. It's crazy.
00:41:16
>> Speaking of a
00:41:18
>> Yeah.
00:41:18
>> A uh ad break. Oh,
00:41:21
>> a adre trivia.
00:41:25
>> Yeah.
00:41:28
So, first question,
00:41:30
>> we are a mobile podcast.
00:41:32
>> We talk about phones and stuff while
00:41:34
people are on the go or washing their
00:41:36
dishes, but
00:41:36
>> a mobile.
00:41:37
>> Either way, whichever one you want.
00:41:38
>> Uh, so speaking of mobile stuff, let's
00:41:41
talk about some mobile technology.
00:41:42
CDMMA,
00:41:44
>> yeah,
00:41:44
>> stands for
00:41:45
>> Oh, I know this
00:41:46
>> code division multiple access. Sorry,
00:41:49
Marquez.
00:41:50
>> So, what does GSM stand for?
00:41:55
What is what is CDMAS? Code division
00:41:57
mobile access.
00:41:58
>> Code division multiple access.
00:42:00
>> Okay. And GSM
00:42:02
>> stands for
00:42:03
>> GSM Marina.
00:42:05
>> Yeah. GSM stands for GSM Marina site
00:42:09
mobile
00:42:10
>> phones.
00:42:11
>> Well, we'll think about that.
00:42:13
>> We will. Answers will be at the end like
00:42:14
usual. We'll be right back.
00:42:19
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That's shopify.com/wwayform.
00:43:17
All right, we're back. Um, okay. We were
00:43:20
just talking about Apple making a lot of
00:43:21
AI stuff, so now we're going to pivot a
00:43:23
little bit. Um, Samsung's displayless
00:43:26
smart glasses have leaked. So,
00:43:28
>> so just glasses glasses.
00:43:30
>> They're just Well, they're smart
00:43:30
glasses.
00:43:31
>> AI glasses.
00:43:32
>> They've got a camera. They got two
00:43:33
cameras.
00:43:33
>> Camera and AI glasses.
00:43:35
>> Yeah. So, if you click the link, uh,
00:43:37
they have some there are some renders in
00:43:38
there.
00:43:39
>> Let's see it. But Android Headlines got
00:43:41
a hold of some supposedly allegedly
00:43:43
leaked marketing images for the Galaxy
00:43:45
glasses, if they're accurate.
00:43:47
>> Galaxy glasses.
00:43:48
>> Yeah, Galaxy glasses, which makes sense.
00:43:50
>> Oh my god.
00:43:51
>> Why is that so funny to me?
00:43:53
>> I don't know.
00:43:54
>> Because it sounds like Galaxy.
00:43:55
>> Yeah, that might be why. Galaxy glasses.
00:43:57
>> Galaxy glasses. Okay. Well, if they're
00:43:59
accurate, they have dual cameras, which
00:44:01
is interesting. They got one on each
00:44:02
side.
00:44:03
>> They will have Samsung branding on the
00:44:05
side. Uh they don't seem to have an
00:44:07
inner display right now, but apparently
00:44:09
that is coming later next year.
00:44:11
>> They are said to run on Gemini uh XR,
00:44:14
you know, Android XR,
00:44:16
>> which means they'll be controlled mostly
00:44:17
through voice commands. And the alleged
00:44:20
specs are the Qualcomm Snack and AR1
00:44:22
chip, which makes sense. Mhm.
00:44:24
>> 12AP Sony sensors, a 155 mAh battery,
00:44:28
which is in line with the Ray-B bands,
00:44:29
bone conduction speakers, 50 g, rumored
00:44:32
to be priced between $379 and $499,
00:44:35
which is a quite quite a wide range.
00:44:37
>> It's kind of a big range, but it isn't
00:44:39
actually that big of a range, I think.
00:44:41
>> Yeah,
00:44:42
>> like somewhere under 500. Yeah.
00:44:44
>> Is it's not impulse buy territory,
00:44:46
obviously, but it is not cheap.
00:44:48
>> They need to make these cheaper. I mean,
00:44:51
>> yeah. So, the metas are what, 350? Yeah,
00:44:53
those are they went up though. But those
00:44:54
are also Ray-B bands.
00:44:56
>> True.
00:44:57
>> This is a random Samsung like Samsung.
00:45:00
>> Aren't they going to collab? So, I
00:45:01
haven't read this article yet, but
00:45:02
typically there's some sort of I think
00:45:04
they all recognize they have to collab
00:45:05
with a glasses maker. I don't know if
00:45:07
Parker or or Luxodica, whoever. They
00:45:10
just they need someone to make the
00:45:11
glasses.
00:45:12
>> Samsung hasn't announced a collab yet.
00:45:14
Google did cuz Google's doing Warby
00:45:16
Parker and Gentle Monster,
00:45:17
>> right? There's only so many companies to
00:45:19
go around.
00:45:19
>> I like Gentle Monster glasses. See,
00:45:21
that's exactly the reaction they
00:45:26
>> they're hoping they don't think about it
00:45:27
as Google glasses. They're like, "Oh, I
00:45:29
could get the Gentle Monster glasses
00:45:31
with these features in them."
00:45:32
>> It's 100% Gentle Monster because that's
00:45:34
also a South Korean company.
00:45:36
>> That's true.
00:45:37
>> Interesting.
00:45:37
>> But can they do that for Google and
00:45:39
>> Fitz? I don't think they can. They can.
00:45:41
>> Google and Samsung are like
00:45:42
besties/friendmies.
00:45:43
>> I think once you're off the market, once
00:45:45
you do one collab, you're you're locked
00:45:46
in.
00:45:46
>> Once you already have a date to the
00:45:47
prom, you can't mess around like that.
00:45:49
We've seen the movies. Well, did they
00:45:50
say that Google has a collab with them
00:45:52
or Android XR has a collab with them?
00:45:54
>> Google. It is Google itself, you know.
00:45:56
So, I don't know. We'll see.
00:45:57
>> But, I mean, overall Android like you're
00:45:59
going to see this is Google's advantage
00:46:01
in this case, right? It's it's the same
00:46:03
advantage that Android has over the
00:46:04
iPhone where they have so many
00:46:06
manufacturers. Like, uh, Samsung is
00:46:08
going to make smart glasses, OPPO is
00:46:09
going to make smart glasses, Vivo is
00:46:11
going to make smart glasses, OnePlus is
00:46:13
probably going to make smart glasses.
00:46:14
>> Everybody in the club,
00:46:15
>> everybody in the club makes smart
00:46:16
glasses. Everyone's doing it.
00:46:17
>> Oh, stop. cuz I know how that song goes.
00:46:20
>> My question is why is it dual cameras?
00:46:24
>> Um,
00:46:25
>> why the left and the right?
00:46:26
>> Are they not all dual cameras?
00:46:27
>> No.
00:46:27
>> So, metaz are just on one side and then
00:46:30
a sort of dummy lens on the other side
00:46:32
for symmetry, but you only record from
00:46:34
one side.
00:46:34
>> Would that be for depth information?
00:46:36
>> Maybe. That seems like the only
00:46:38
reasonable way to have two cameras
00:46:40
facing the same direction from slightly.
00:46:42
>> Maybe it's for the the Galaxy XR glass.
00:46:45
like that's probably
00:46:47
>> so you like you record in 3D maybe and
00:46:49
then you can watch 3D videos.
00:46:51
>> Yeah. If you have a fixed distance, this
00:46:52
is what we're talking about Ellis with
00:46:53
the rigidity like you have a perfectly
00:46:55
fixed exactly measurable distance
00:46:57
between the two lenses at all times. You
00:46:59
can design an algorithm to make
00:47:02
stereoscopic video from that
00:47:04
>> that you use in the Galaxy.
00:47:06
>> What is what are their their vision pro
00:47:08
called?
00:47:08
>> So we saw it when it was project now
00:47:10
it's the Galaxy XR.
00:47:12
>> Is that what it is?
00:47:13
>> I need to double check but yeah I think
00:47:14
so.
00:47:15
>> Yeah. I don't know. I I I don't know if
00:47:17
>> Galaxy XR.
00:47:18
>> I don't know if there's that many
00:47:20
Samsung super fans that are like going
00:47:21
to spend that much money on Samsung
00:47:23
smart glasses. I would personally buy
00:47:25
Google smart glasses before Samsung
00:47:27
smart glasses.
00:47:28
>> So, it'll be interesting when those are
00:47:29
out. When the Samsung ones are out and
00:47:30
the Google ones are out and they have a
00:47:32
hugely overlapping functionality and
00:47:34
they look almost the same and they're
00:47:36
priced almost the same. Like, what's
00:47:38
going to make someone pick one versus
00:47:39
the other? Samsung's going to have to
00:47:40
figure out how to make them work better
00:47:42
for their ecosystem cuz they have
00:47:44
Samsung Health. They have like, you
00:47:46
know,
00:47:46
>> you just look at your washing machine
00:47:48
and it starts cleaning your clothes.
00:47:50
>> That's actually probably what they're
00:47:51
going to do. They may have stuff that
00:47:52
Google doesn't make where you can just
00:47:53
like tell your fridge to do or like ask
00:47:56
it what's in your fridge and it'll tell
00:47:57
you
00:47:58
>> you have a Samsung fridge.
00:47:58
>> True. You know,
00:48:00
>> I just want to say it doesn't matter who
00:48:01
makes it. If you're wearing glasses and
00:48:02
recording your daughter at her birthday
00:48:04
party, I'm going to make fun of you.
00:48:06
It's just like the Apple Vision Pro. I
00:48:08
love that. Like that's the one that's
00:48:10
like the one use case I think is like
00:48:12
cool with these, you know, like being
00:48:14
like, "Oh, I need to take a video right
00:48:16
now."
00:48:16
>> Yeah. But not like a I mean like the
00:48:17
spatial video when they were demoing the
00:48:19
Apple Vision Pro and it's just the guy
00:48:21
like all up in his daughter's face.
00:48:22
>> That's That's Yeah, that's insane.
00:48:25
>> That I'm surprised we didn't make fun of
00:48:27
that more.
00:48:28
Being the one guy at a birthday party
00:48:30
who's recording everything with a vision
00:48:32
pro and like actively
00:48:35
>> being the one guy at anything who's
00:48:37
using a vision pro is tough.
00:48:39
>> What's it like to live in live in
00:48:40
Certino? Well,
00:48:41
>> oh my gosh.
00:48:42
>> Yeah. Okay.
00:48:43
>> They really tried to sell people on the
00:48:45
on the watching back that memory will be
00:48:48
special to you.
00:48:49
>> So here's here's the way you capture
00:48:51
that memory is to be that guy. That
00:48:52
being the the first home camcorders
00:48:55
>> were pretty ginormous and people still I
00:48:59
don't know if if you were getting
00:49:00
roasted for using one of those.
00:49:02
>> You were I remember had one of those and
00:49:04
everyone made fun of them.
00:49:05
>> Yeah. But at least it wasn't mounted to
00:49:07
your face.
00:49:08
>> But it was I think
00:49:09
>> to get the right POV.
00:49:10
>> I mean kind of you had to put it up to
00:49:11
your face like this.
00:49:12
>> Well, and the the very first ones were
00:49:14
so big they had to sit on your shoulder
00:49:15
and then you had a a pack that you wore
00:49:17
on your belt that actually held the
00:49:18
tapes. So it was like Yeah,
00:49:21
>> that's sick. I guess the novelty of like
00:49:23
the first cameras recording stuff, it
00:49:25
was such an impactful thing to be able
00:49:26
to actually watch something back later
00:49:28
that maybe it was worth the social
00:49:29
trade-off. That's true. Now it's like
00:49:31
true, oh, I can watch it in 3D. That's
00:49:33
>> Yeah.
00:49:34
>> No, but I have to put on your like
00:49:35
sweaty thing.
00:49:36
>> Yeah. I'd rather not wear this thing. I
00:49:37
can just capture with my phone like
00:49:38
everybody else and I can still watch it
00:49:40
and experience it later
00:49:41
>> and watch it in in 3D because the iPhone
00:49:44
like depth convert your things now.
00:49:45
>> Yeah.
00:49:46
>> Yeah.
00:49:46
>> I don't know, man.
00:49:47
>> I don't know. I mean, it's a good way to
00:49:48
capture steroscopic video. I just like
00:49:50
worry that this is just about training
00:49:52
data. Like
00:49:53
>> it's all about training data.
00:49:54
>> Like all these companies just are just
00:49:55
trying to get training data and they're
00:49:57
like, "Oh, we'll we'll give you some
00:49:58
cute glasses in exchange for you you
00:50:01
being our little lab rat."
00:50:02
>> Correct. That's what all of
00:50:04
>> technology for the past 20 years.
00:50:06
>> Yeah. Yeah.
00:50:07
>> But especially the last five.
00:50:09
>> Especially the last five.
00:50:10
>> Yeah.
00:50:11
>> Um switching gears. Okay. This is a
00:50:13
weird one. Spotify Premium now includes
00:50:16
Pelaton classes.
00:50:18
>> Wait.
00:50:18
>> Um what? It's only the Pelaton classes
00:50:21
that don't need dedicated hardware. So,
00:50:22
no tread, which is the the the
00:50:24
treadmill,
00:50:25
>> and no Pelaton bike classes. But
00:50:27
everything else, like running yoga,
00:50:29
strength, and Pilates,
00:50:30
>> you now have access to in Spotify
00:50:32
Premium.
00:50:33
>> So, you're saying I have a Spotify
00:50:34
premium subscription. I can open the
00:50:36
Spotify app and I can take a yoga class.
00:50:40
Correct.
00:50:40
>> In it. Correct.
00:50:41
>> That's funny.
00:50:42
>> Okay.
00:50:42
>> Yeah.
00:50:43
>> Cool. I mean, there's a case to be made
00:50:45
for like Apple has the run with me and
00:50:47
like the walk with me things. And you
00:50:50
know, if you have like a running coach
00:50:51
in your ear, I guess that's considered
00:50:54
audio.
00:50:54
>> You know what this is the opposite of?
00:50:56
>> Like some companies, uh, like car
00:50:59
companies, their brand is so well known
00:51:02
for one specific thing that if they want
00:51:04
to branch out into something else, they
00:51:06
have to like start a new brand name to
00:51:08
do that. Yeah.
00:51:08
>> Even though they're the same company. So
00:51:10
like Nissan makes,
00:51:11
>> you know, cheap, reliable cars. Great.
00:51:13
But they want to make luxury cars. You
00:51:15
can't have an expensive Nissan.
00:51:17
Infiniti. Boom. Now you can sell the
00:51:19
same stuff or sell more expensive stuff
00:51:21
under the same company name, but a
00:51:23
different name to actually get that
00:51:24
across,
00:51:24
>> right?
00:51:25
>> Everyone knows Spotify is music, but
00:51:28
they've been trying desperately to add
00:51:30
to that. Whether it's podcasts, whether
00:51:32
it's the DJ, the AI stuff. Now this like
00:51:35
Pelon class and yoga class. Like I I
00:51:38
want it to be not the Spotify name
00:51:40
>> to actually have a chance, right? I
00:51:42
mean, Netflix added games and then they
00:51:44
added podcasts, you know, and Spotify
00:51:47
added they added audiobooks and they
00:51:50
added podcast cuz remember Spotify
00:51:52
originally didn't even have podcasts,
00:51:53
>> right?
00:51:54
>> And then they became like the de facto
00:51:56
podcast app for a lot of people. And I
00:51:58
think they believe that that's because
00:51:59
of the Spotify name. People open the
00:52:01
Spotify app, they already like Spotify,
00:52:02
they use it already. And so we're going
00:52:04
to leverage the Spotify name to also be
00:52:06
good at and popular at these other
00:52:08
things. I mean, at the end of the day,
00:52:09
it's like they I mean, they need to add
00:52:11
more value in some way, but all of these
00:52:13
streaming companies, whether it's
00:52:14
Netflix, whether it's YouTube, whether
00:52:16
it's Spotify, are just trying to build
00:52:18
out full ecosystems where you can do
00:52:20
basically everything in it. Because, you
00:52:22
know, there's this um what is the
00:52:24
saying? It's like we're competing for
00:52:26
your we're competing against you
00:52:28
sleeping is what I don't remember what
00:52:30
tech CEO said this, but he was like,
00:52:32
we're competing with your sleep. It was
00:52:34
Reed Hastings, Netflix. said we're
00:52:36
competing with sleep on the margin.
00:52:38
>> Okay, I can see that cuz you watch
00:52:40
Netflix before you go to sleep and if
00:52:41
you want to keep staying on Netflix,
00:52:42
you're trading your sleep. That makes a
00:52:44
direct Okay,
00:52:44
>> I think that also was in particular
00:52:46
someone was asking him about the
00:52:48
competition with like YouTube and stuff
00:52:49
and he was like, "Oh, we don't really
00:52:51
consider the market the big competition
00:52:53
for your attention is like sleep."
00:52:55
>> That is really funny considering also
00:52:56
that YouTube is a direct competitor.
00:52:58
That's really funny.
00:52:59
>> Yeah, this is how they're describing
00:53:01
this move. Time on Spotify should feel
00:53:03
meaningful and intentional, not
00:53:05
something that slips away in a blur of
00:53:07
mindless scrolling. That's why we've
00:53:09
always invested in experiences that
00:53:10
leave you feeling more energized, in
00:53:12
control, and empowered. We also look to
00:53:14
the user base and creators on our
00:53:16
platform for inspiration, and that's why
00:53:17
we're expanding into the new category,
00:53:19
fitness.
00:53:21
Yeah, I mean, I can kind of see it. And
00:53:25
also, Pelaton is like on the verge of
00:53:26
bankruptcy again. So,
00:53:29
>> eat their lunch. They I mean they b they
00:53:31
need to do anything. You know what I
00:53:33
mean? I think that what Pelaton gets out
00:53:34
of it is if people like the classes in
00:53:37
general, they might buy a Pelaton
00:53:39
subscription for the actual bike and
00:53:41
tread.
00:53:42
>> And then Spotify is like, "Oh, we're
00:53:44
technically offering more value. If
00:53:46
you're a Pelaton user who doesn't have
00:53:48
the bike or tread, but you still like
00:53:49
the classes, then you could just cancel
00:53:51
your Pelon subscription."
00:53:52
>> True. If you're paying for two
00:53:54
subscriptions, you can cancel one of
00:53:55
them.
00:53:55
>> Yeah. Damn. So,
00:53:56
>> Pelon probably hates this.
00:53:58
>> It's weird. It's I think we're just
00:53:59
going to keep seeing like YouTube added
00:54:01
the games and I I think we're just going
00:54:03
to continue to see all of these
00:54:04
streaming companies build out the
00:54:06
services that they offer so that you
00:54:08
never leave their app.
00:54:09
>> Fair enough.
00:54:09
>> Um but it does feel weird because
00:54:11
Spotify should not be a fitness company.
00:54:13
>> I feel like when I think of Pelaton, I
00:54:15
imagine it just it always appears in
00:54:17
places I don't expect it to be or it
00:54:19
should be.
00:54:20
>> Yeah.
00:54:20
>> Um just in advertising and like weird
00:54:23
places they feature it. But it is
00:54:24
bizarre that for this Pelaton thing, you
00:54:26
actively have to go out of your way to
00:54:28
search for it. It's not like in the home
00:54:30
UI. You have to search the word fitness
00:54:33
and then it pulls it up. So it's not
00:54:35
>> I mean it only launched like yesterday
00:54:37
or the day before. So you might not even
00:54:39
have gotten it yet.
00:54:40
>> It's there.
00:54:41
>> Oh yeah, it is there.
00:54:43
>> What is a sweatfree work? Oh, I guess
00:54:45
that's like yoga. That's not really a
00:54:46
work. I
00:54:47
>> A lot of people sweat while they do
00:54:48
yoga.
00:54:50
>> I'm going to do a here. Let's do five
00:54:52
minute breathing. I guess I can't play
00:54:53
this because
00:54:54
>> No,
00:54:54
>> please don't.
00:54:56
>> Yeah. All right.
00:54:57
>> All right.
00:54:57
>> Well, uh, okay. We've got a big story,
00:54:59
but first, there's some breaking news
00:55:00
that I just saw.
00:55:02
>> Breaking news.
00:55:03
>> Um, Google Photos is going to is
00:55:05
launching an AI tryon feature for
00:55:08
clothes that you own.
00:55:09
>> Oh, this is stupid.
00:55:10
>> Clothes you already own.
00:55:12
>> Yes. So, you have a picture of
00:55:14
>> No, it's not stupid. I think it's cool.
00:55:15
No, it I have a big problem with the
00:55:18
whole Google like try on this clothes
00:55:20
with AI because that's not how clothes
00:55:22
work.
00:55:23
>> Clothes like clothes clothes drape over
00:55:26
your body in a way that an AI just
00:55:28
cannot predict because it doesn't know.
00:55:30
It is true. It doesn't the
00:55:31
>> You just have to take a lot of nudes and
00:55:32
then it'll know how it
00:55:34
>> would also need an in-depth knowledge of
00:55:36
where the stitches are on every art.
00:55:37
Like it's just not like you could see
00:55:39
how a color would work on it kind of
00:55:41
>> which is helpful though. Maybe this is
00:55:42
like getting at the 80%. It's not going
00:55:44
to be 100% perfect, but I can get a
00:55:47
better sense of the proportions of
00:55:49
something maybe if I use this feature
00:55:52
versus if it's just floating with no
00:55:53
body in it or a mannequin. I don't know.
00:55:55
>> But if this is stuff we already have, it
00:55:57
already has the data.
00:55:58
>> That's what I'm saying. Yeah. If it if
00:56:00
it already has a picture of you wearing
00:56:01
it, then maybe it would.
00:56:02
>> Yeah. If the feature is just like, "Show
00:56:04
me how this fits on me and it just shows
00:56:05
you the picture you already took." It's
00:56:07
like, "Oh, yeah.
00:56:08
>> That's how it fits."
00:56:09
>> Yeah.
00:56:10
>> Yeah. I mean,
00:56:11
>> what is it supposed to do then if it's
00:56:12
not just showing you pictures you
00:56:13
already took?
00:56:14
>> Well, no, it's not just showing you
00:56:15
pictures you already took. So, it'll
00:56:16
create cutouts. Here's a directly from
00:56:18
Google's website. It'll create these
00:56:20
cutouts of clothing that you've uh you
00:56:22
have photos of yourself wearing
00:56:24
>> and then you take a photo of yourself.
00:56:25
Well, I guess it probably already has
00:56:26
photos of yourself and it will literally
00:56:28
put the clothes on you.
00:56:30
>> So, this is more like a mixand match
00:56:31
type thing.
00:56:31
>> Yeah, it's a mix and match. You can save
00:56:33
outfits and you can also share them with
00:56:35
friends. Look, you guys think it's
00:56:36
stupid. As a very nonfashionable person
00:56:40
who's really bad at clothes.
00:56:42
>> I kind of I kind of really like this.
00:56:44
>> I mean, there's companies that make apps
00:56:46
for this.
00:56:47
>> I was going to say this is Sherlocking
00:56:48
many apps.
00:56:49
>> This isn't unable cuz those are all paid
00:56:51
apps.
00:56:52
>> Well, now Daddy Google owns all your
00:56:54
outfits.
00:56:54
>> It's not good. But
00:56:56
>> I'm a huge fan of this because one of
00:56:58
the biggest like tech things from movies
00:57:00
that I've always wanted was the wardrobe
00:57:02
from Clueless. And that's what this is
00:57:04
>> is like a smart wardrobe.
00:57:05
>> Yeah, exactly. You like it tells you
00:57:07
what certain things in your wardrobe and
00:57:09
how it looks on you. Like you could just
00:57:11
swipe through and create different
00:57:12
outfits based on the things you've wore.
00:57:14
So like if I wore this jacket today, but
00:57:16
tomorrow I wear a different pair of
00:57:17
pants and I'm like, "Huh, I wonder how
00:57:19
that jacket look would look with those
00:57:21
pants." And then you can just like swipe
00:57:22
them through and make it look
00:57:23
>> I love this. Filter by category. Look at
00:57:25
everything together or a deeper dive
00:57:27
into a single category. Example,
00:57:29
jewelry, tops or bottoms. Then scroll to
00:57:31
rediscover longforgotten items that
00:57:33
might be buried in your closet. That's
00:57:34
also cool.
00:57:35
>> It's good. It's good.
00:57:36
>> Create outfits with ease. Mix and match
00:57:38
items. Um, and try on looks virtually.
00:57:40
See how an outfit will look on you
00:57:42
before you get dressed. See individual
00:57:43
pieces and then click try. What I want
00:57:45
is I want Gemini to suggest me clothing
00:57:49
pairings.
00:57:50
>> May I dress you?
00:57:51
>> Yes,
00:57:52
>> I'm sure it'll do that. It'll You'll
00:57:54
probably go I'm going to a It'll tell
00:57:56
you like what kind of um event it is
00:57:58
like black tie, whatever other themes
00:57:59
there. I'm going to a podcast
00:58:02
>> and it'll be like wear that thing you
00:58:04
wore to the other podcast and
00:58:05
>> I'll be like really
00:58:06
>> this is this is probably like inherently
00:58:08
tied to Google shopping right
00:58:11
>> obviously that's the most
00:58:12
>> it's going to start showing you things
00:58:13
that you don't already own for sure and
00:58:15
tell you oh you could
00:58:17
>> I'm down with that
00:58:18
>> you know what work really well with that
00:58:19
pair of pants you keep wearing this
00:58:21
other shirt you don't have yet
00:58:22
>> you know how people are like I love
00:58:24
Instagram ads because they're relevant
00:58:26
to me and it's actually good like I
00:58:28
>> People say that
00:58:29
>> people do say Yeah, I agree with that
00:58:30
100% you say that.
00:58:31
>> I have never bought anything on
00:58:34
Instagram yet, although I might next
00:58:35
week cuz I found something that I might
00:58:37
want to buy for somebody I know.
00:58:39
>> But uh and I keep, you know, being like,
00:58:41
I can't let them win. I can't let them
00:58:42
win.
00:58:44
However,
00:58:45
>> but it's really good.
00:58:46
>> I I don't like going to just like
00:58:49
clothing stores and just like looking at
00:58:50
stuff and then having to I want to just
00:58:53
like swipe through a gallery and be
00:58:54
like, "That looks good on me." And then
00:58:55
buy it. That's all I want to do. What if
00:58:58
it's like, "Hey, that shirt you have
00:59:00
doesn't look too good on you. What about
00:59:02
this new shirt over here?" I don't think
00:59:03
it would tell you to look like I don't
00:59:05
think so.
00:59:06
>> I don't think that's how clothes work. I
00:59:07
don't I think I think that's
00:59:09
>> It's not how clothes work, but it's 80%
00:59:10
how clothes work. And that's
00:59:12
>> how most people understand clothes to
00:59:13
work enough.
00:59:15
>> Scrolling a website.
00:59:16
>> Yeah.
00:59:17
>> Would you do this?
00:59:18
>> It's way better than scrolling a
00:59:19
website.
00:59:20
>> I don't Would you do this with a car
00:59:24
wrap?
00:59:26
>> Um, yes. it like deep it would
00:59:28
essentially be perfect for a car.
00:59:30
>> Yeah.
00:59:30
>> Really? You don't need to see it in
00:59:32
natural light and see it in see the
00:59:33
material. And
00:59:35
>> for the again the 90% like yes there's
00:59:37
the 5% of like how does it look in
00:59:39
different lights for different angles
00:59:40
but for the 90% of like I can just
00:59:42
import a model of the car and then just
00:59:44
copy paste the text onto the car. That's
00:59:46
good enough for me to decide.
00:59:48
>> I don't know man. I've been suit
00:59:49
shopping a lot lately and like I know my
00:59:51
my jacket
00:59:52
>> suits are very different. Yeah. No, no,
00:59:53
no, no, no.
00:59:55
It's all the same, bros. It is.
00:59:57
>> A t-shirt is so different than how a
00:59:59
suit fits.
00:59:59
>> Yeah. I think there's How picky are you
01:00:01
going to be about this piece of
01:00:02
clothing, which is the same as the car.
01:00:03
>> Okay, fine. We'll we'll talk about the
01:00:04
t-shirt I'm wearing, right? This is a
01:00:06
This is a color. Who makes it a color
01:00:08
wear? No,
01:00:08
>> it's a comfort colors.
01:00:09
>> Comfort colors, right?
01:00:12
>> It's a It's a gorgeous shirt. I love the
01:00:13
shirt.
01:00:14
>> You look really good in it.
01:00:15
>> Thank you.
01:00:16
This shirt is not sized like other
01:00:19
shirts. If you were to hold it up with
01:00:21
another another t-shirt of the same I
01:00:23
forgot if this is a large or an extra
01:00:24
large.
01:00:24
>> You know what would solve that?
01:00:26
>> AI Google fit.
01:00:27
>> It would because because there's no
01:00:29
>> Google fit. They could bring it back.
01:00:31
>> Oh my Oh my god. Google
01:00:34
>> I don't know. There's there's too many
01:00:35
seams. There's too there's too many
01:00:36
measurement points. You need to see how
01:00:37
how the clothes like drape over your
01:00:39
body. You need to know the length of all
01:00:41
the stitches. I'm not saying it's
01:00:43
impossible for an AI to have all these
01:00:44
data points. But I'm saying knowing
01:00:46
these tech companies, they're not going
01:00:48
to get the data point of every article
01:00:49
of clothing that's ever made and know
01:00:50
all your measurements. They're going to
01:00:52
hallucinate it all.
01:00:53
>> Here's a question. Right now, when you
01:00:54
buy a shirt like this, it shows you just
01:00:56
like the shirt with no body
01:00:59
>> and maybe a couple pictures of it with
01:01:00
people.
01:01:01
>> Is this better than that?
01:01:04
>> It's somewhere in between. Like the
01:01:06
perfect thing of trying on the shirt in
01:01:07
a mirror, that's 100%. The 0% is just a
01:01:11
render of the shirt with no body.
01:01:12
Somewhere in between is it's going to
01:01:15
try to estimate how this will fit on you
01:01:17
and hopefully it gets it not terribly
01:01:19
wrong. That's like somewhere in between.
01:01:21
>> I guess you know to that I would just
01:01:22
say that like for me personally like
01:01:24
most online clothing has a model in the
01:01:28
picture. It'll say something like the
01:01:29
model is 61 and wearing this size. And
01:01:32
you can usually extrapolate like oh this
01:01:35
is and given I'm still really bad at
01:01:37
that. I order tons of stuff that I'm
01:01:38
like, "This technically fits but makes
01:01:40
me look like a cereal box or this
01:01:41
technically fits and makes me look like
01:01:43
a penguin, you know? It's so like like
01:01:46
for example, I got, you know, big long
01:01:48
gangly arms. I got to have something
01:01:49
with a slightly longer sleeve, you know,
01:01:51
otherwise I
01:01:53
>> thing that it's good at
01:01:54
>> that maybe.
01:01:55
>> I don't know. I'm not I don't have
01:01:56
faith." But we should stop talking about
01:01:58
it.
01:01:58
>> Well, okay, last note. I will say like
01:02:00
I've never again never bought anything
01:02:02
off Instagram ads, but I might next
01:02:03
week,
01:02:04
>> but I almost bought this sweater one
01:02:06
time. There was like a big kind of
01:02:07
holiday sweater and had a big cat face
01:02:09
on it and it was very cute and looked
01:02:11
very warm.
01:02:12
>> And then I looked at the the reviews and
01:02:15
it was like this is the worst fitting
01:02:17
thing, the cheapest like material. So
01:02:20
like my concern about it is like
01:02:22
>> you don't know how good the material is
01:02:24
and that's a big thing.
01:02:26
>> I mean
01:02:26
>> for sure.
01:02:26
>> And you also don't know the
01:02:28
manufacturing like there's so many
01:02:29
different ways you can make a t-shirt.
01:02:31
There's so many different machines that
01:02:32
can make a t-shirt and they all make a
01:02:34
different quality shirt. But this is
01:02:35
also for clothes you already own.
01:02:37
>> You're right. You're right. We're
01:02:39
talking about the We're talking about
01:02:41
the inevitable future where they
01:02:43
>> Well, that they already announced like
01:02:44
last year, didn't they? The AI shopping
01:02:46
trion with like a few supported
01:02:48
>> things. Really? Really? I got us off the
01:02:50
rails by being like, I know this new
01:02:51
thing is coming out is fine. But that
01:02:52
thing from last year, I'm still mad
01:02:54
about. It's okay.
01:02:55
>> Well, one of the big stories of today,
01:02:57
um, OpenAI is reportedly working on an
01:02:59
AI smartphone to compete with the
01:03:01
iPhone.
01:03:01
>> Okay. I have one question about this.
01:03:03
Yeah,
01:03:04
>> this is different than the Sam Alman
01:03:06
Johnny I
01:03:07
>> think they pivoted.
01:03:09
>> So they're not making hardware anymore.
01:03:10
>> We don't know.
01:03:11
>> This I would say probably again falls in
01:03:13
the same category as a lot of the Apple
01:03:14
stuff we were talking about earlier
01:03:16
which is reportedly working on means
01:03:18
yeah they're of course
01:03:19
>> well apparently there's there's already
01:03:21
so supply chain analyst Menchin Quo
01:03:23
posted a blog on Twitter about this
01:03:25
saying they're already working on it. Um
01:03:27
they're in late stage talks with
01:03:29
Qualcomm and MediaTek to build bespoke
01:03:32
processors for it and they're
01:03:34
co-designing the phone with Lux Share
01:03:36
which is a major Chinese components
01:03:38
manufacturer. So it's like it's in the
01:03:39
late stage and I believe they said it
01:03:41
might be releasing around the end of
01:03:43
2027
01:03:45
which is pretty late stage.
01:03:47
>> Yeah. Yeah.
01:03:47
>> Okay. So
01:03:48
>> yeah, I I have no doubt that a lot of
01:03:51
people are really interested in what
01:03:53
this could be.
01:03:53
>> Yeah. The other thing is uh like all of
01:03:56
the current smartphone makers are doing
01:03:58
their best to add tons of AI features to
01:04:00
their phones. So is there anything that
01:04:02
we think OpenAI could do in their
01:04:04
smartphone that would give them an
01:04:06
advantage that others like Google makes
01:04:08
phones? Yeah.
01:04:09
>> Apple makes phones like that that they
01:04:11
couldn't do.
01:04:12
>> Yeah. Just going to get hyped because
01:04:14
it's open AI. main thing that I'm
01:04:15
thinking about is like if they build
01:04:17
their chipsets and their phones
01:04:20
specifically to be more optimized for
01:04:22
things like continuous contextual
01:04:26
processing, right? Like if it's always
01:04:28
listening or something like that
01:04:29
>> in a way that like Google wouldn't with
01:04:30
Tensor and Gemini,
01:04:32
>> they're going to try that.
01:04:33
>> Google could with Tensor on the Pixel
01:04:35
later, but they would have to start
01:04:37
doing that now, which maybe they already
01:04:39
did.
01:04:40
>> Apple would never really do that, I
01:04:41
don't think. Um,
01:04:43
>> I just feel like this makes a lot of
01:04:44
sense for Open AI and not a lot of sense
01:04:46
for the customer that's going to be
01:04:47
using it because I already have a phone.
01:04:49
Just because Apple doesn't let Open AI
01:04:51
do certain things on the phone, like
01:04:52
that's my problem.
01:04:53
>> They said it's to compete with the
01:04:54
iPhone. So, it's going to be
01:04:55
>> Of course it is. Cuz they want to be
01:04:57
able to do things that Apple won't let
01:04:58
them do.
01:04:58
>> Exactly. It's the direct competitor to
01:05:00
the iPhone because Apple will never let
01:05:02
OpenAI do all the things that they want
01:05:03
to do on the iPhone.
01:05:04
>> So, OpenAI makes their own hardware.
01:05:07
people who are willing and want all that
01:05:09
context and all this stuff in their
01:05:10
account to work best on a phone will
01:05:13
prefer it I guess over the iPhone
01:05:14
because all that stuff and hopefully it
01:05:16
also does all the stuff Apple does well.
01:05:17
>> I mean the crazy thing is that apps
01:05:19
would not like there's not going to be
01:05:21
app developers for
01:05:22
>> there's so many other things that come
01:05:23
with making a smartphone that you have
01:05:25
to get good at so fast like developers
01:05:27
cameras. Yeah, I suppose unless you
01:05:30
believe the kind of pie in the sky idea
01:05:32
that Sam Alman keeps talking about where
01:05:34
apps don't need to exist anymore because
01:05:35
you can just ask it to do things and it
01:05:37
will just do everything.
01:05:38
>> We're so far from that world. I get that
01:05:40
that's what people are trying to do.
01:05:42
>> That's like 2050,
01:05:43
>> but that's we are far from that world.
01:05:45
Apps are really good right now.
01:05:46
>> Yeah. And like being able to rely on
01:05:49
services and have spec have trust that
01:05:52
the thing that you do is going to act
01:05:54
the same way every time. Those those are
01:05:57
important. Yeah. And I don't I just
01:05:59
don't think that asking your phone to
01:06:01
doing do something and having like a 70
01:06:03
to 80% chance that it actually does it.
01:06:05
I don't know if people are going to be
01:06:07
down with that. Also, like maps data,
01:06:09
like Google Maps, like how would that
01:06:11
happen to an API or something?
01:06:13
>> Asking it for the weather. There's so
01:06:14
many good weather.
01:06:15
>> Oh god, it's just going to hallucinate
01:06:16
the weather.
01:06:17
>> Yeah. Like there's there's things that
01:06:18
phones do incredibly well. You know what
01:06:19
this reminds me of? That video we did
01:06:21
about the Neo robot.
01:06:23
>> Yeah. where okay if you believe in this
01:06:26
future like you really think that
01:06:27
there's a world where this future
01:06:30
product knows enough about you and has
01:06:32
enough training data that it can
01:06:33
actually be useful then you have to
01:06:34
launch a version of it before it's ready
01:06:37
before it has enough data and before
01:06:39
it's even good at anything
01:06:40
>> to have early adopters start to help you
01:06:43
make it better and train it and then by
01:06:44
version 3 4 5 it could get there but the
01:06:47
only way you could get there is if you
01:06:49
start now with this probably inferior
01:06:51
product
01:06:51
>> so we're going to get maybe an OpenAI
01:06:53
smartphone in 2027 that probably has a
01:06:56
way worse camera than the iPhone and way
01:06:57
worse app store than the iPhone and a
01:06:59
way worse bunch of other things than the
01:07:00
iPhone, but it'll do the beginnings of
01:07:02
this cool thing well. And people who are
01:07:05
believers in that 5 years down the road
01:07:06
mission, they're going to get one and
01:07:09
>> sign up for all the stuff and beta test
01:07:11
and they're off to the races.
01:07:13
>> Yeah, I think Open Eye is putting a lot
01:07:15
of eggs in a basket.
01:07:17
They need money so bad. And I think
01:07:19
they're looking at Apple and being like,
01:07:21
the amount of money Apple makes on the
01:07:23
iPhone is so astronomical that this
01:07:25
could solve all of our problems and all
01:07:26
of our commitments that we've made for
01:07:28
trillions of dollars. And I just I think
01:07:30
that they're just
01:07:31
>> the operating system on it.
01:07:33
>> Well, this is the question. Like I is
01:07:35
does it run Android or are they going to
01:07:37
create a bespoke operating system?
01:07:40
>> That's the other question. I just feel
01:07:42
like OpenAI is a complete nonsense
01:07:46
company at this point. Like like we're
01:07:48
burning through cash at a rep record
01:07:50
rate. We need cash flow. Let's start a
01:07:53
hardware stack
01:07:55
>> in something that we have no experience.
01:07:56
Like that doesn't make any business
01:07:58
sense whatsoever.
01:07:59
>> That's the scale you need to compete at
01:08:00
when you owe the amount of money they
01:08:02
have. The only way they're going to get
01:08:03
that amount of money to pay back
01:08:04
everyone that invested in them is to
01:08:06
compete with the iPhone.
01:08:07
>> No. No. Well,
01:08:08
>> like that's crazy.
01:08:11
the scale they need to weigh.
01:08:12
>> I think so, dude. Their commitments are
01:08:14
insane.
01:08:14
>> That's But
01:08:15
>> you remember the guy that asked him
01:08:16
like, "How exactly are you going to make
01:08:19
this money?" And Sam Elman just goes,
01:08:20
"We'll buy out your shares from you,
01:08:22
bro. We'll buy your shares back from
01:08:24
you."
01:08:24
>> But it's just to me it just feels like
01:08:27
if if you have invested, you know,
01:08:30
billions of dollars into something,
01:08:32
you're now billions of dollars in debt.
01:08:34
And your idea for how do we get out of
01:08:36
debt is to start a new chain of
01:08:39
investments because none of the other
01:08:40
money we spent will make us that's
01:08:42
called
01:08:43
>> a gambling addiction. That's what
01:08:44
>> that's called that's called complete
01:08:46
nonsense.
01:08:46
>> When I think of an open AI phone I think
01:08:48
of like the crypto phone the is it
01:08:50
Salana phone
01:08:51
>> saga. They're all they're they might be
01:08:54
real but like no one has them. There's
01:08:57
no market for them. Who is this for? And
01:08:59
why are you wasting your money making
01:09:00
this? Because somewhere out there
01:09:03
there's a bunch of early adopters who
01:09:05
>> the entirety of San Francisco.
01:09:06
>> Yeah. Really actually really want it.
01:09:09
And it sounds ridiculous from the
01:09:10
outside looking in, but there are a lot
01:09:11
of people who are Yeah. going all in
01:09:13
with like, oh, I've changed my life with
01:09:15
these products and I've optimized
01:09:16
everything and I've started new
01:09:17
businesses with it and of course I would
01:09:19
buy an OpenAI iPhone phone and that
01:09:20
that's the world they live in. And so
01:09:23
this is
01:09:24
>> starting with that demographic of the
01:09:26
very beginning of the what is this curve
01:09:28
called? The the whole adoption curve
01:09:30
where the uh
01:09:31
>> the very beginning of it. That's those
01:09:32
people.
01:09:33
>> Is it people who want the product or
01:09:34
people who want to make a lot of money?
01:09:36
>> Uh I think they're one and the same. I
01:09:38
think that when you when you talk to
01:09:39
Tesla people on Twitter, you get the
01:09:40
sense that that's it's one large mob. I
01:09:42
think that's kind of the same thing
01:09:43
here.
01:09:44
>> Yeah.
01:09:45
>> Yeah. I don't know. I mean, it's it's
01:09:47
going to be interesting to see if people
01:09:49
really trust the company enough to have
01:09:51
a phone that does all of the things with
01:09:53
all the context. I just
01:09:55
>> Yeah.
01:09:55
>> Yeah. The the the general sentiment on
01:09:57
AI is really bad. Uh, I think Neili put
01:10:00
out an article recently called the the
01:10:02
people do not yearn for automation and
01:10:05
it's it's true. It's just like the
01:10:07
general sentiment of AI is very very
01:10:09
very negative and the people who are
01:10:10
making the AI stuff in San Francisco
01:10:12
just don't see that because everyone
01:10:14
around them like there was a tweet
01:10:15
recently.
01:10:15
>> What do you call that when you're in a
01:10:17
small group?
01:10:19
>> No, even better cuz it could pop.
01:10:22
>> An echo bubble.
01:10:24
>> Echo.
01:10:25
>> It's an echo bubble.
01:10:25
>> It's an echo bubble. Um, anyway. Yeah.
01:10:28
Who knows, dude? It's going to be
01:10:29
interesting. It's going to be a crazy
01:10:30
few years.
01:10:31
>> Yeah.
01:10:31
>> I think that we should do another uh
01:10:33
trivia question, ad break. And um but
01:10:35
first, before that, we should do the
01:10:37
trivia question before the ad break.
01:10:39
>> Yes. Hit the music. Thanks.
01:10:41
>> Trivia time.
01:10:42
>> I'm ready.
01:10:43
>> You know what it is. You know what it
01:10:45
is.
01:10:46
>> What is it?
01:10:46
>> Black and yellow.
01:10:49
>> I'm actually shocked that
01:10:51
>> high school. True. Fair enough. Touche.
01:10:55
Or middle. Actually, that was middle
01:10:57
school. That was middle school.
01:10:58
>> The song.
01:10:59
>> Black and yellow.
01:11:00
>> Black and yellow. Black and yellow.
01:11:01
>> Is that really?
01:11:02
>> Why are you shocked that I know that?
01:11:03
>> I thought that was later than that.
01:11:05
>> Old
01:11:05
>> Black and Yellow song.
01:11:07
>> Oh, it's actually called Black and
01:11:08
Yellow.
01:11:08
>> Like 2012.
01:11:09
>> 2010.
01:11:10
>> Wait, what did you think the song was
01:11:11
called?
01:11:12
>> That's what I was Yeah, that's where I
01:11:13
was. They kind of say it a lot.
01:11:15
>> What are they talking about? Bumblebees
01:11:16
or some?
01:11:17
>> What are they talking about? Pittsburgh.
01:11:19
>> Pittsburgh.
01:11:20
>> Oh, really?
01:11:20
>> Why is Pittsburgh black and yellow?
01:11:22
>> Steelers, bro.
01:11:23
>> Mariah. Mariah. What?
01:11:25
>> I wasn't born yesterday. BALL.
01:11:27
>> OH MY GOSH.
01:11:28
>> THIS IS A ball podcast. I thought the
01:11:30
Steelers were
01:11:31
>> were um
01:11:32
>> ball.
01:11:33
>> Football.
01:11:33
>> Ball.
01:11:34
>> Yeah, that's a ball.
01:11:35
>> I thought ball only referred to
01:11:37
basketball.
01:11:37
>> No, ball is ball.
01:11:38
>> Balls. When you say you know balls ball.
01:11:40
>> So when you say you know ball, it just
01:11:41
means you know sports.
01:11:42
>> It just means you know ball.
01:11:42
>> Means you're noting stupid.
01:11:44
>> David, you know ball about tech. You
01:11:46
know ball.
01:11:46
>> I know ball.
01:11:47
>> You guys want to hear trivia?
01:11:48
>> Yeah. Yeah.
01:11:49
>> Is it about ball?
01:11:50
>> Uh my trivia question for you this week
01:11:52
um is about a little historical
01:11:54
question. So this week in history, on
01:11:57
April 28th of 2003, Apple launched the
01:12:00
iTunes music store, which tightly
01:12:02
integrated with the iPod and new model
01:12:04
of paid digital downloads.
01:12:07
>> My question for you is, what was the
01:12:10
name of Apple's proprietary DRM system
01:12:14
that enforced playback restrictions on
01:12:16
the songs purchased from the store?
01:12:18
>> Oh, I didn't even know there was DRM.
01:12:20
>> Yeah, because it has a name. It has a
01:12:23
name
01:12:23
>> because I've I've
01:12:25
I've ripped a lot of
01:12:27
>> Careful, Alice. Careful.
01:12:28
>> No, but you can rip an MP4 or whatever,
01:12:30
but if you buy
01:12:32
>> Yeah. No, I
01:12:33
>> that file.
01:12:34
>> Careful.
01:12:35
>> No, I I have
01:12:36
>> This is in 2003, so
01:12:37
>> I have my entire iPod Classics M4As.
01:12:40
>> I think it changed over time. I could be
01:12:42
wrong.
01:12:42
>> Also, I Yeah, I don't think they really
01:12:44
care anymore.
01:12:45
>> M4.
01:12:45
>> Um, Apple DRM. What would, if I was
01:12:48
Apple, what would I call my digital
01:12:50
rights management software? I'd call it
01:12:53
I'd call it
01:12:55
>> eyelock
01:12:56
>> the stem something.
01:12:58
>> Oh my gosh, that's hilarious. You know
01:12:59
Eyelock is a real thing, right?
01:13:00
>> No. Is it? Is it a digital rights
01:13:03
management software?
01:13:04
>> No, it is. It is.
01:13:05
>> Oh,
01:13:06
>> you you bought me one.
01:13:08
>> Huh?
01:13:09
>> That's my Eyelock,
01:13:10
>> dude.
01:13:10
>> This one?
01:13:11
>> What is that?
01:13:12
>> Is this for passwords?
01:13:13
>> Uh, no. It's the for a lot of audio
01:13:15
software will not run unless that is
01:13:18
plugged into my computer.
01:13:19
>> Oh, same idea. Yeah. Yeah. All right.
01:13:21
So, I don't steal it.
01:13:21
>> So, you're definitely user who bought
01:13:24
it. It's
01:13:25
>> audio software may have a DRM hardware
01:13:27
key.
01:13:28
>> It's more of like
01:13:30
two factor authentication.
01:13:32
>> Audio.
01:13:32
>> Yeah.
01:13:33
>> Yeah. Okay. Yeah. We will think about
01:13:34
what that DRM might have been called.
01:13:36
Answers at the end. BRB.
01:13:47
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Rules and restrictions may apply. All
01:14:45
right, welcome back. Um, we got a new
01:14:48
feature that we're going to use the hell
01:14:50
out of for tech events.
01:14:52
>> And what is that?
01:14:53
>> Threads is introducing live chats.
01:14:55
>> Really?
01:14:56
>> Yeah.
01:14:57
>> Sick.
01:14:58
>> Yeah. explain how it works cuz I know
01:15:00
what a thread is.
01:15:01
>> Correct.
01:15:01
>> How are we going to do live chats that
01:15:02
are even more live than what's already
01:15:04
happening on threads?
01:15:05
>> Yeah. So, threads notoriously has been
01:15:07
really, really, really, really horrible
01:15:09
for live events because it just sends
01:15:11
you um it just shows you threads from
01:15:13
like 4 days ago.
01:15:14
>> Mhm.
01:15:14
>> Uh but during big events like NBA games,
01:15:17
there will be big group chats that are
01:15:18
spearheaded by influential community
01:15:20
members.
01:15:22
>> So, it's it's like
01:15:23
>> I think anyone can maybe start them. I'm
01:15:25
not sure.
01:15:25
>> I love this. It sounds like it's sort of
01:15:26
like Discord meets the Twitter spaces.
01:15:30
They
01:15:31
>> sort of Yeah. So, you can limit how many
01:15:33
people can contribute. Um, but people
01:15:35
can still react and vote in the polls if
01:15:37
they are not contributing
01:15:39
>> and the chats are openly discoverable.
01:15:41
So, you can go into the section of like
01:15:44
the live event chats and you can just
01:15:46
see what people are talking about, which
01:15:48
I think is really cool. I'm curious how
01:15:50
many sort of different uh limits it'll
01:15:53
have. Like maybe we can have a studio
01:15:55
chat that everyone could sort of react
01:15:57
to but maybe not chat in so they can
01:15:59
see. It's like a live blog. It's like
01:16:01
Verge does the live blogs for like big
01:16:03
tech events. I think it would be really
01:16:04
cool if we could do our own live blog
01:16:05
but on threads.
01:16:06
>> I think that's exactly what this is
01:16:07
because every time there's a live event,
01:16:10
we pretty much just take over people's
01:16:12
feeds. So this is a way to like contain
01:16:14
silo it.
01:16:14
>> Yeah. Well, and also make it so you can
01:16:16
see all of it in one place instead of
01:16:17
the way threads normally works, which is
01:16:19
terrible. So I I guess I'm picturing
01:16:20
this as like there's an event happening
01:16:22
only certain people can contribute but I
01:16:25
guess it's open to anyone who can view.
01:16:27
>> You can also make it so more people can
01:16:29
me like contribute like it can be open
01:16:31
to the community or just contained to
01:16:33
certain people.
01:16:34
>> So an event is happening six of us are
01:16:36
in the thread live whatever it's called
01:16:38
live thread posting about things from
01:16:41
different angles media
01:16:42
>> text posts or whatever and then it's all
01:16:44
in one place to jump in and jump out.
01:16:46
>> Yeah.
01:16:47
>> It's our Slack but for everyone to read.
01:16:48
Yeah, which I think is sick. Cool. Like
01:16:51
I'm pretty excited about that. I think
01:16:52
it's going to be cool for the events.
01:16:54
>> Um it' be cool if you could also have
01:16:57
like
01:16:57
>> ping pin certain threads accounts and
01:17:01
then their actual thread posts appear.
01:17:05
Like like if you were doing a tech
01:17:06
event, you could add like a bunch of
01:17:08
other tech journalists and every time
01:17:09
one of them posts an update, it shows up
01:17:10
in this like scrolling feed.
01:17:12
>> You would have to assume that they're
01:17:13
posting about that event, I guess. Yeah,
01:17:15
you would have
01:17:16
>> cuz it's like it seems like it's a place
01:17:17
that you're going to post
01:17:19
>> like jumping in posting or viewing and
01:17:21
then leaving when you want to and coming
01:17:23
back.
01:17:23
>> I mean, I think you can do that though
01:17:24
if you just invite them and they accept.
01:17:26
>> Sure. Yeah. You know,
01:17:27
>> well, I guess I was thinking like that
01:17:29
David showed me this cool app called
01:17:31
Surf
01:17:32
>> the the Fedverse browser.
01:17:34
>> Yeah. Like I I guess in my head it was
01:17:35
sort of a com like
01:17:37
>> it's a Russ corner.
01:17:38
>> This is the Fedverse. We're bringing it
01:17:40
back. It's a it's the Russian nesting
01:17:42
doll of the Fedverse basically. I was
01:17:44
going to say I think this is the feature
01:17:46
that might convince me to get on threads
01:17:48
maybe cuz like I
01:17:51
>> lately Well, exactly. Cuz I've been
01:17:53
really enjoying using social media as of
01:17:55
late for specific things. Like for
01:17:57
example, like I took Twitter off my
01:17:58
phone. It was like rotting my brain. Now
01:18:00
that the Sixers are in the playoffs, I
01:18:02
want to be a part of Sixers Twitter. So
01:18:03
I I got it back. I I convinced my feed
01:18:06
to literally only show me Sixers posts
01:18:08
by only interacting with Sixers posts.
01:18:10
>> You can train it real quick. And then
01:18:12
and then when the Sixers when the Sixers
01:18:13
win the NBA NBA championship in June,
01:18:15
I'm going to delete Twitter off my phone
01:18:17
again. And um who
01:18:20
>> get out of here, bro?
01:18:22
>> It's the guy wearing the Knicks hat.
01:18:23
>> Yeah, of course it's the guy wearing the
01:18:24
Knicks hat.
01:18:26
>> Surf would be really good for that for
01:18:27
you to be honest cuz there was a huge
01:18:30
migration from Twitter to threads
01:18:32
specifically from NBA people.
01:18:33
>> Yeah, NBA on Blue Sky and Threads is
01:18:35
like a thing.
01:18:36
>> Is it really? Yeah, it's really popping
01:18:38
on threads.
01:18:38
>> But NBA Twitter is so good. NBA Twitter
01:18:40
has all the chaos and the dark memes. A
01:18:43
lot of the professionals are on blue sky
01:18:45
and threads.
01:18:46
>> Interesting. Yeah. Do you want do you
01:18:47
want the professional takes? Do you want
01:18:49
to see like what shams and those guys or
01:18:52
like the journalists are saying or do
01:18:53
you want the the deepest darkest memes
01:18:55
from other Sixers fans?
01:18:57
>> My my favorite my favorite basketball
01:18:59
journalist is Adam Arensson who's on
01:19:02
Twitter, but I think he's also on Blue
01:19:03
Sky.
01:19:04
>> Yeah. Well, an event that maybe we'll be
01:19:06
able to use this uh if it goes live by
01:19:08
then is the Android show which is
01:19:10
happening again this year on May 12th.
01:19:13
Last year they showed they introduced
01:19:16
expressive design material. Yeah,
01:19:18
>> it was a se Yeah. That was a good
01:19:20
segway.
01:19:20
>> Thanks. I appreciate Yeah.
01:19:22
>> Last year they had the material
01:19:24
expressive design. They had Gemini live
01:19:26
that they showed off which is crazy that
01:19:28
it's only been out for a year which is
01:19:30
crazy. Uh Gemini cross devices. They
01:19:33
also had a device showcase where deer
01:19:35
just kind of like walked around and
01:19:37
showed all the different form factors of
01:19:38
his Android.
01:19:39
>> Check this out.
01:19:39
>> Yeah, check this out.
01:19:41
>> So, we have no idea what they're going
01:19:42
to show this year. However, they did say
01:19:44
it was going to be one of the biggest
01:19:46
weeks for Android ever.
01:19:48
>> H interesting.
01:19:50
>> One of the biggest weeks for Android.
01:19:52
Huge for Android users.
01:19:53
>> This is big for big for my fellows out
01:19:55
there.
01:19:56
>> Is this where Pixel Glow gets announced?
01:19:58
>> I doubt it.
01:19:59
>> I like the new look. Yeah,
01:20:01
>> I like these new icons.
01:20:03
>> Yeah. Yeah. So, okay, that's another
01:20:06
segue.
01:20:07
>> Yeah.
01:20:07
>> Uh Google this week did an like a
01:20:11
massive gradient redesign of all its
01:20:13
icons because Gemini, you know, they've
01:20:15
been slowly like changing everything to
01:20:17
be gradients instead of like hard cuts.
01:20:20
>> And now they redesigned almost all of
01:20:22
their apps to have sort of the Gemini
01:20:24
gradient designs. And I think they look
01:20:26
really, really good. I could
01:20:28
>> They're beautiful because the previous
01:20:30
icons all had the same like Google
01:20:32
colors.
01:20:33
>> Yeah.
01:20:33
>> And I could not tell them apart. They
01:20:36
were so similar.
01:20:38
>> Google Drive next to Google Maps in the
01:20:40
doc. They just look like the same
01:20:41
>> next to photos. Yeah.
01:20:43
>> Look at Google Talk. Google Talk and
01:20:45
Google. Yeah.
01:20:46
>> Gmail and Google. It was just a bunch of
01:20:48
blocks of color.
01:20:49
>> Okay. But to be fair, those are also the
01:20:50
same app.
01:20:51
>> No.
01:20:51
>> Well, they they used to be the same app
01:20:53
and then they separated them.
01:20:55
>> Yeah. But if you're in Google Messages
01:20:57
and then you try to video call someone,
01:20:58
>> that's not Google Messages.
01:20:59
>> What is that?
01:21:00
>> That's Google Chat.
01:21:01
>> What is Google Chat
01:21:01
>> or Google Talk? I don't know.
01:21:03
>> What is it?
01:21:03
>> How is that Google?
01:21:04
>> We're simulating a conversation that
01:21:05
they have inside their own camp.
01:21:07
>> What is that? What is that?
01:21:09
>> What is Google Talk?
01:21:10
>> How is that different from
01:21:12
that? You made that?
01:21:13
>> Is that the phone one? Is that the one
01:21:14
where you got a phone number?
01:21:15
>> No, that's that's Google voice.
01:21:18
>> Voice. Yeah.
01:21:18
>> Okay. Which is different than Google
01:21:20
Talk?
01:21:20
>> Why is there not just one?
01:21:23
We've This is This is the last 15 years
01:21:26
of Google
01:21:27
>> death, taxes, Google messaging apps.
01:21:29
>> Google me.
01:21:30
>> That's
01:21:31
>> Yeah,
01:21:31
>> that's not Google Talk down that hill.
01:21:33
>> Anyway, they're a little more
01:21:33
distinguishable.
01:21:34
>> I don't know what that is, bro. I don't
01:21:36
know anymore.
01:21:37
>> I still use
01:21:37
>> I'm out of it.
01:21:38
>> Yeah. In Gmail, I believe Google Chat is
01:21:40
what they think of as like their Slack
01:21:42
comp like
01:21:44
>> Yeah. Yeah. Yeah. Like Teams or
01:21:46
something.
01:21:46
>> Google Chat. Yeah. It's like Teams.
01:21:49
>> Okay.
01:21:49
>> They used to have a chat thing in the
01:21:51
email. Did they just like fully remove
01:21:53
it?
01:21:53
>> It's still in there.
01:21:53
>> That was it. Yeah.
01:21:55
>> It's still in Gmail, but it's also a
01:21:57
separate app because they're trying to
01:21:58
make it like Microsoft Teams.
01:22:00
>> Um, they've also got Google Voice. Yeah.
01:22:02
So, you know,
01:22:03
>> I get it.
01:22:04
>> But,
01:22:04
>> moral of the story, icons are better
01:22:05
now.
01:22:06
>> I just got to say, Google Keep also got
01:22:09
a uh a uh you know, icon update, which
01:22:11
means they did remember it exists.
01:22:13
>> Wow.
01:22:13
>> I thought they were going to kill it.
01:22:14
I'm kind of happy it's still here.
01:22:15
>> No, they're going to keep it.
01:22:16
>> It was on chopping block.
01:22:17
>> Yo, baby. We all thought it was on the
01:22:20
chopping block because they updated
01:22:21
tasks, right? Or they were gone tasks.
01:22:24
>> Well, and they also updated the task
01:22:25
icon.
01:22:25
>> Yes, they did.
01:22:26
>> It's beautiful.
01:22:27
>> So, both people did something.
01:22:29
>> And Google Sites also is
01:22:31
>> What is Google Sites?
01:22:32
>> It's a web development like platform.
01:22:34
It's like it's like baby Squarespace.
01:22:37
>> You don't need any of this anymore
01:22:38
because you can just vibe code it now.
01:22:40
So,
01:22:40
>> yep.
01:22:41
>> I don't really there Google Sites is for
01:22:43
sure on the chopping block. I feel like
01:22:44
they were like, "Hey, Gemini, create an
01:22:46
app icon for that one cuz we're probably
01:22:48
going to get rid of it soon."
01:22:50
>> Hey, computer.
01:22:50
>> Anyway, that's pretty fun. I think this
01:22:53
has been a long podcast. So, I think
01:22:54
that we should just uh actually, let's
01:22:56
do one more really quick story. Uh
01:22:58
YouTube TV is now letting you do multiv-
01:23:01
view layouts.
01:23:02
>> I like it. So, I'll be able to watch
01:23:04
mostly watch the Knicks series and then
01:23:06
like in a little separate view, I'll be
01:23:08
able to be like, "How much are the
01:23:09
Sixers losing by?"
01:23:10
>> Oh, come on, brother. Back to check.
01:23:12
Look. Oh my god.
01:23:14
>> 20 points to Marquez.
01:23:16
>> You do realize that we we had it was the
01:23:18
it was the largest fourth quarter
01:23:20
comeback in NBA playoff history.
01:23:22
>> Really?
01:23:22
>> Last game.
01:23:23
>> All right. That's props.
01:23:24
>> I need I need to make sure I get that.
01:23:26
Uh
01:23:26
>> like a 20 I assume that's a pretty big
01:23:28
comeback.
01:23:29
>> I will just say to Ellis's point this
01:23:31
week I am a Sixers fan because I'd
01:23:33
rather play.
01:23:34
>> We can't talk about basketball. Like
01:23:35
guys, we got to stop talking about the
01:23:37
basketball. No, I got to say you and
01:23:38
Alex are really pissing me off with that
01:23:39
with that stuff because the only reason
01:23:41
that you're saying that is because you
01:23:43
think we're a bad team you could beat in
01:23:44
the second round. You have to make a
01:23:46
tech analogy to keep
01:23:47
>> I would not have added this last story
01:23:49
if I knew we were going to talk about
01:23:51
basketball again.
01:23:52
>> We have to make a tech analogy to talk
01:23:54
about ball. So, if you want to talk, you
01:23:55
can talk tech all you want, but if
01:23:57
you're going to talk ball, how about you
01:23:58
have like a tech angle
01:23:59
>> here? Here. The Sixers The Sixers are
01:24:02
like are like blue sky.
01:24:04
>> What?
01:24:06
Okay, I'm gonna hear this. Tell me.
01:24:07
>> I'm listening. Okay,
01:24:09
>> this guy super fun to look at.
01:24:11
>> Fiverse this.
01:24:12
>> Yeah. Super fun to look at.
01:24:14
>> Tons of crazy promises. They're like,
01:24:16
give us time.
01:24:18
>> It's never going to actually be good.
01:24:21
>> Okay.
01:24:22
>> But you know what? We're all here for
01:24:24
the ride.
01:24:25
>> That's valid.
01:24:26
>> You know, I'm on board. I'm with you.
01:24:28
Thank you.
01:24:28
>> Well, one of our best studio shorts was
01:24:30
making tech analogies, and I think we
01:24:31
should keep doing them.
01:24:32
>> I like it.
01:24:33
>> Yeah. Also, I think that's a bad
01:24:34
analogy. Also, I like Blue Sky. I'm just
01:24:36
I'm just mad because everyone here hates
01:24:38
my freaking basketball team and my my
01:24:41
>> David relates very much.
01:24:42
>> Yeah.
01:24:43
>> About hating his team. No, about like
01:24:45
the frustration of Blue Sky never going
01:24:46
to be actually a thing. But there's so
01:24:48
many good ideas under the surface that
01:24:50
people will never see cuz they never
01:24:51
give it a chance.
01:24:51
>> When I went Yeah.
01:24:53
>> Trust process.
01:24:54
>> The pro Dude, the protocol is so good.
01:24:56
The protocol is amazing. And when I went
01:24:57
to
01:24:58
>> Yeah.
01:24:58
>> Yeah.
01:24:59
>> What are you doing?
01:25:01
>> It's working.
01:25:02
>> Am I missing something?
01:25:03
>> It's working. And when I went to
01:25:04
atmosphere comp, like there were so many
01:25:06
people making really really really
01:25:07
awesome things.
01:25:08
>> Dude, if you had a blue sky hat on right
01:25:10
now, this would be the perfect analysis.
01:25:11
>> This would be amazing. Yeah, exactly. We
01:25:12
have Hey Paul, we had Paul, if you if
01:25:15
you're hearing this, if you guys make
01:25:16
hats,
01:25:17
>> send one my way so that I can compete
01:25:19
with Ellis's Sixers hat.
01:25:21
>> Oh my god.
01:25:22
>> Um, if that was a hilarious little
01:25:25
segment cuz it worked perfectly, David,
01:25:26
you don't know, but that was a perfect
01:25:28
It was actually great. That was great.
01:25:29
>> AI was the answer. Joel Embiid is the
01:25:31
process. And now we got VJ the protocol.
01:25:34
>> Okay.
01:25:35
>> I don't what they call.
01:25:37
>> All right. The last thing I want to say
01:25:38
about this YouTube TV thing doing
01:25:39
multiv- view layout and I'm stealing
01:25:41
this directly from Mariah where she said
01:25:42
this in Slack. Uh just do it with
01:25:44
YouTube. You cowards.
01:25:46
>> She's here. Let her say it.
01:25:47
>> Oh, wait. Actually, um
01:25:49
>> you want to watch two YouTube videos at
01:25:51
once?
01:25:51
>> What?
01:25:52
>> Mariah say it.
01:25:53
>> I was silenced.
01:25:55
>> Mariah, say the word.
01:25:56
>> I want YouTube stim. Why can't I play
01:26:00
more than one YouTube video?
01:26:02
>> I can think of like 50 at the same time.
01:26:05
>> If you can do it with TV, like a bar,
01:26:07
how a bar has it where they have like
01:26:08
four games playing at the same time. Why
01:26:10
can't my house have four YouTube videos
01:26:12
happening all on one screen?
01:26:13
>> Four YouTube videos. Do you want to
01:26:14
watch at the same
01:26:18
let's play one corner, podcast in the
01:26:20
other corner,
01:26:20
>> but you have the audio.
01:26:22
>> Here's something here's something I
01:26:23
recently learned. It's kind of the
01:26:25
opposite of what you're asking for is
01:26:26
YouTube knows that people watch a video
01:26:29
on their TV and then they pull out their
01:26:31
phone and they have their phone and
01:26:33
they're actually looking for the next
01:26:35
video to watch on their phone.
01:26:37
>> Yeah.
01:26:37
>> And so they're working on better
01:26:40
multiscreen experiences where you're
01:26:42
watching a video on your TV and you can
01:26:43
control that video, but you also can
01:26:45
like pick the next ceue up the next
01:26:46
videos you want to watch on your TV. So
01:26:48
you're not watching two videos at once,
01:26:49
but it's aware that you are using
01:26:51
YouTube in two places at the same time.
01:26:53
and making them talk to each other.
01:26:55
>> I also think the reason they want to
01:26:56
have multiv- view on YouTube TV is so
01:26:58
that they can be shown at bars and show
01:27:00
off multiple games at the same time.
01:27:01
>> Twice as many ads
01:27:03
>> that as well. And they could just lie to
01:27:05
their advertisers that people are
01:27:07
actually consuming those advertisements.
01:27:08
>> This is so crazy. But it makes sense for
01:27:10
bars. Makes sense for bars.
01:27:11
>> Yeah. Just let me split screen.
01:27:12
>> We're We literally live in a world where
01:27:14
it's like I want to watch this YouTube
01:27:15
video, but my attention span doesn't
01:27:17
work well enough. So, I'm going to put
01:27:18
Subway Surfers in a separate video
01:27:21
below.
01:27:21
>> Yeah. You know, there's like
01:27:22
inprogramming advertising for this in
01:27:25
Amazon Prime, right? Like when you watch
01:27:28
NBA games, not to bring it back to
01:27:29
basketball, I swear it's not about
01:27:30
basketball. When you watch when you
01:27:31
watch NBA games on Amazon Prime, the
01:27:33
announcer, like the guy who's calling
01:27:35
the plays in the game will say,
01:27:37
>> Reggie Miller.
01:27:38
>> Yeah. He'll be like, "You no Reggie
01:27:39
Miller's ESPN."
01:27:42
>> No, no. The guy who's like calling
01:27:44
plays, he'll be like, "Annbi makes a
01:27:46
crazy three. By the way, you can also
01:27:48
watch another game by clicking this
01:27:50
button on your remote. And it's like,
01:27:52
why? Like, why does the basketball man
01:27:54
know about my remote?
01:27:56
>> Yeah.
01:27:57
>> Yeah, it does happen.
01:27:58
>> Yeah, I did watch uh I watched a little
01:28:00
bit of the second season of Fallout
01:28:01
recently and during the ads you can just
01:28:04
tap. It's like buy this on Amazon. It's
01:28:06
a oneclick thing during the ad where you
01:28:08
could just
01:28:09
>> click one button and a product gets shut
01:28:11
to your house. And I was like, this is
01:28:13
dystopia,
01:28:14
>> dude. Amazon Prime Video. The most
01:28:16
dystopian when you're like watching a
01:28:17
sports game and it's like here's the
01:28:19
betting odds baked into the UI and
01:28:21
you're just like,
01:28:22
>> "Yeah,
01:28:23
>> let's just do the trivia."
01:28:24
>> Let's just do the trivia. It's been a
01:28:25
long day.
01:28:28
>> Bring it on, baby.
01:28:29
>> Trivia, dude. Quick update on the score.
01:28:32
>> Yeah.
01:28:33
>> Marquez with 21. Andrew, who is not
01:28:36
here, with 22, David 26, and Ellis with
01:28:40
zero. Wait, should my points go towards
01:28:43
>> countense?
01:28:45
I got you.
01:28:46
>> Does he though?
01:28:47
>> No.
01:28:48
>> First question. What does GSM stand for?
01:28:54
>> You know how I thought I knew it
01:28:55
earlier?
01:28:56
>> How do you think you knew it?
01:28:57
>> I I actually don't know.
01:28:58
>> Oh,
01:28:59
>> I don't know.
01:29:02
I should know this. I should really know
01:29:03
this.
01:29:04
>> I think if you guys use your
01:29:05
imagination, you could figure it out.
01:29:07
>> Do we get one point per correct letter?
01:29:09
>> No. That would be crazy. I can't afford
01:29:13
to go behind by that many points.
01:29:18
>> All right, flip them and read. What do
01:29:20
you got?
01:29:20
>> I really should know this. This is
01:29:21
crazy.
01:29:23
>> Ellis is way over.
01:29:24
>> Ellis, you're still writing.
01:29:24
>> Ellis has read both of our answers and
01:29:26
is now writing.
01:29:27
>> Easy.
01:29:28
>> This is normally a disqualification.
01:29:29
>> Yeah, it's fine.
01:29:31
>> It's for the meme.
01:29:33
>> That's fine.
01:29:34
>> All right. What you guys got?
01:29:35
>> I I'm guessing. So, I wrote some generic
01:29:37
terms down. I said general service
01:29:40
module.
01:29:41
>> Ooh, that's good. No, that is good.
01:29:42
>> I tried.
01:29:43
>> I wrote global
01:29:45
serialized
01:29:48
mobile.
01:29:49
>> Yeah, I don't know.
01:29:50
>> Close.
01:29:51
>> Really
01:29:51
>> ish.
01:29:52
>> Oh,
01:29:52
>> global. Two out of three.
01:29:53
>> I think global is probably right.
01:29:55
>> Yeah, global is correct.
01:29:56
>> I put global.
01:29:58
>> Shy Gil just Alexander.
01:30:00
>> Stop.
01:30:01
>> Mobile.
01:30:02
>> Correct.
01:30:04
>> Um, the correct answer was global system
01:30:05
for mobile communications. Oh,
01:30:07
>> wait. Are you serious? That's what I
01:30:10
>> That's what you put first?
01:30:11
>> That's what I put and I was like, global
01:30:13
system mobile doesn't make any sense.
01:30:15
Are you kidding? That's why I said you
01:30:17
have to use your imagination.
01:30:18
>> Andrew, I'm sorry.
01:30:19
>> Damn.
01:30:20
>> Are you doing this for Andrew's points?
01:30:21
>> Yeah.
01:30:21
>> Oh, that's crazy.
01:30:22
>> All right, gamers. Um, this week in
01:30:25
history, iTunes was launched. What was
01:30:27
the name of Apple's proprietary DRM
01:30:30
system enforcing playback restriction?
01:30:33
>> Can we have a hint?
01:30:35
>> No. God damn.
01:30:36
>> None of us are going to get it.
01:30:38
>> Literally, this is a really hard
01:30:39
question.
01:30:40
>> I had a softball question before this. I
01:30:42
wanted to go harder.
01:30:44
>> It's going to be the same points.
01:30:45
>> We literally never get points on this
01:30:46
podcast. So,
01:30:48
>> I can give you my other one as well if
01:30:50
you want it after.
01:30:51
>> I would do that.
01:30:52
>> That That's fair.
01:30:56
>> Thought you guys were nerds. You should
01:30:58
know this,
01:30:58
>> bro. Internal DRM nomenclature. What are
01:31:02
you talking about?
01:31:03
>> I I should know this. Yeah, I thought
01:31:05
Ellis might know it. If I were to guess,
01:31:07
I'd put best odds on Ellis, but I'm not
01:31:09
going to get it.
01:31:09
>> Yeah.
01:31:11
>> All right. I put iTunes secure payments.
01:31:15
>> I put he protect.
01:31:17
>> I put no ownership for you. What the
01:31:21
>> Oh, you're all so close. Uh, it was
01:31:24
called fair play.
01:31:26
>> Oh, like share play and airplay.
01:31:28
>> They would call it something fair as if
01:31:30
it's fair.
01:31:31
>> It's funny. I mean, it's more fair than
01:31:33
spot. It's more fair than all streaming
01:31:35
services.
01:31:36
>> Can I have the erase?
01:31:37
>> Yeah.
01:31:37
>> Uh, can we do one more question? Do the
01:31:39
honorable mention.
01:31:40
>> I would like someone to get one point.
01:31:42
>> Okay.
01:31:42
>> Yeah.
01:31:43
>> You guys should definitely get this one.
01:31:45
And if you don't, I don't know.
01:31:46
>> What's the name of Tim Cook's father?
01:31:49
>> Daddy.
01:31:50
>> Mr. Cook.
01:31:52
>> I met someone from Alabama on my recent
01:31:55
trip and I was prepared with the fun
01:31:57
fact that Tim Cook is from Alabama.
01:31:59
>> Did you tell them?
01:32:00
>> Yes, I did. And he was like,
01:32:01
>> "Do they like it?"
01:32:02
>> And they were like, "Oh, I didn't know."
01:32:03
Because they were from Alabama. They're
01:32:04
like, "There's not that much." Sorry,
01:32:06
Arkansas. And they were like, "There's
01:32:07
not that much stuff from Arkansas. We
01:32:09
have this one thing with Walmart and
01:32:10
this other thing." And I was like, "Tim
01:32:13
Cook's from Arkansas."
01:32:14
>> He's from Alabama.
01:32:15
>> Alabama.
01:32:22
>> I guess I didn't retain that information
01:32:25
as well as I was hoping. That was last
01:32:27
week's question.
01:32:29
>> That is last week, huh?
01:32:32
>> Whoops.
01:32:32
>> Damn.
01:32:33
>> Fake news.
01:32:33
>> It doesn't get better than this, folks.
01:32:36
>> No, do not cut that.
01:32:37
>> Me like that.
01:32:38
>> It doesn't get better than this.
01:32:40
>> All right, give us your softball.
01:32:42
>> Going to Google and be like, he totally
01:32:43
thinks Alabama and Arkansas are the
01:32:45
same.
01:32:45
>> No, they're just going to believe you,
01:32:46
bro.
01:32:47
>> That's not a thing that I think they
01:32:48
want to fact check you.
01:32:49
>> The song they do go Alabama, Arkansas.
01:32:53
>> It's cuz they're both a
01:32:54
>> They're next to each other. Yeah,
01:32:55
they're next to each. Are they actually
01:32:56
next to each other?
01:32:57
>> I think so.
01:32:57
>> That makes sense because I don't know
01:32:58
where else they'd be.
01:32:59
>> All right.
01:33:00
>> All right.
01:33:00
>> Bonus question.
01:33:01
>> Bonus.
01:33:02
>> Uh, my question for you is, which year
01:33:05
of WWDC introduced dark mode to iOS?
01:33:11
>> Oh my god.
01:33:11
>> Is it Price is Right?
01:33:12
>> That's not an easy question.
01:33:14
>> Come on. You should know this.
01:33:14
>> Is it Delta or Price is Right.
01:33:17
>> Dark mode.
01:33:18
>> I mean, if you're within like a No. Get
01:33:21
it right or
01:33:21
>> what year? Wow.
01:33:23
>> What year? No. I got to count backwards.
01:33:26
>> Oh god.
01:33:27
>> So like
01:33:29
>> Yeah.
01:33:29
>> Wait. Dark mode.
01:33:32
>> Oh,
01:33:32
>> hurry up. Hurry up.
01:33:34
>> I thought Mark has a No, cuz he loves
01:33:36
dark mode.
01:33:36
>> I do, but I didn't.
01:33:39
>> I have a reason why I have my guess, but
01:33:41
I'm not sure it's right.
01:33:42
>> David's mine is bigger. It means it's
01:33:44
more right.
01:33:44
>> All right, gamers. Ellis, what do you
01:33:46
got?
01:33:47
>> I put 2019.
01:33:49
That's go.
01:33:50
>> Is that really right?
01:33:51
>> I also put a smaller 2019. David, what'
01:33:54
you put?
01:33:56
>> I can tell you why I thought it was
01:33:57
2019.
01:33:59
>> My logic, cuz I didn't remember.
01:34:01
>> Wait,
01:34:01
>> was I tried to pick the iPhone that was
01:34:03
most likely to ship with dark mode and I
01:34:05
thought
01:34:05
>> iPhone 7. That's what I thought.
01:34:07
>> The jet black iPhone 8.
01:34:09
>> So, I went back counted back from 17 to
01:34:12
8. So, minus 9.
01:34:14
>> Whoa.
01:34:14
>> Wow.
01:34:15
>> Seven.
01:34:16
>> So, you did the math wrong.
01:34:16
>> I did the math wrong.
01:34:19
>> It's like the teacher. It's like you did
01:34:21
this wrong, but you somehow ended up at
01:34:22
the right answer.
01:34:24
>> If if you said show your work, I would
01:34:26
get it wrong, but I landed on the same
01:34:28
number Ellis did. And that's
01:34:29
>> okay. I was thinking about the dark
01:34:31
mode, the automatic dark mode icons,
01:34:33
which only happened a few years ago.
01:34:35
>> That was like
01:34:37
two years ago.
01:34:38
>> Yeah. 2023 or 2024.
01:34:40
>> I was thinking and I was thinking I
01:34:41
thought, what year did Apple not really
01:34:43
release anything at all?
01:34:46
>> Dark mode.
01:34:47
>> That's a great Yeah,
01:34:48
>> fair enough. Hey, we got the right
01:34:49
answers.
01:34:50
>> Dang.
01:34:50
>> I'll take the points. Andrew will take
01:34:52
the points.
01:34:53
>> That was like a fake question, right?
01:34:54
>> No, we needed
01:34:56
>> Andrew points.
01:34:57
>> I got you, bro.
01:34:58
>> Very nice.
01:34:59
>> All right.
01:35:00
>> Hey, thanks for watching. Thanks for
01:35:02
tuning in. Thanks for subscribing, of
01:35:04
course, and for sticking to us with the
01:35:06
video version so you can see all the
01:35:07
hats we're wearing every every episode.
01:35:09
I'm sure next week we'll have
01:35:11
>> different hats. Oh, good.
01:35:12
>> Um, we will catch you next week with our
01:35:15
regularly scheduled programming. See you
01:35:17
later. Wave is produced by Adam and
01:35:19
Ellis Rubin and this week by Mariah
01:35:21
Zank. We are brought part of the Vox
01:35:22
Media Podcast Network and our intro
01:35:24
outro music is produced by Vain Sill.
01:35:28
>> Yeah, I don't I don't think I can name
01:35:29
all the players.
01:35:30
>> Nice.
01:35:38
>> I wonder how long people are going to,
01:35:40
you know, how people still think Jeff
01:35:41
Bezos is a CEO of Amazon. How long are
01:35:43
people still going to think Tim Cook is
01:35:44
the CEO of Apple? The is the CEO of
01:35:46
Amazon?

Badges

This episode stands out for the following:

  • 70
    Most heartwarming
  • 60
    Most emotional
  • 60
    Best overall

Episode Highlights

  • 76ers Still in the Game
    The Philadelphia 76ers are still in the NBA playoffs, fighting for their chance at victory.
    “Go Sixers. Sixers in seven!”
    @ 07m 04s
    May 01, 2026
  • Apple's AI Photo Editing
    Apple is reportedly adding new AI photo editing tools in iOS 27, including generative features.
    “Stay till the end to hear the most exciting one!”
    @ 10m 56s
    May 01, 2026
  • Apple's AI AirPods
    Discussion about the potential for AI integration in future AirPods.
    “I don’t want cameras on my earbuds.”
    @ 21m 27s
    May 01, 2026
  • Trust Issues with Technology
    Concerns arise about privacy and data security with new Apple products.
    “I have trust issues.”
    @ 24m 54s
    May 01, 2026
  • Offloading Cognition to AI
    A deep dive into the implications of relying on AI for memory and cognition.
    “I do think we need to start asking ourselves that question.”
    @ 38m 04s
    May 01, 2026
  • Smart Glasses Are Everywhere
    Everyone's jumping on the smart glasses trend, even if it feels a bit crowded.
    “Everybody in the club makes smart glasses. Everyone's doing it.”
    @ 46m 15s
    May 01, 2026
  • Spotify Adds Peloton Classes
    Spotify Premium now includes access to Peloton classes without needing dedicated hardware.
    “So, you're saying I have a Spotify premium subscription. I can open the Spotify app and I can take a yoga class.”
    @ 50m 34s
    May 01, 2026
  • Google Photos AI Try-On Feature
    Google Photos is launching an AI feature to try on clothes you already own.
    “This is more like a mix and match type thing.”
    @ 56m 31s
    May 01, 2026
  • OpenAI's AI Smartphone
    OpenAI is reportedly working on an AI smartphone to compete with the iPhone, aiming for a release around 2027.
    “This could solve all of our problems and all of our commitments.”
    @ 01h 07m 21s
    May 01, 2026
  • Threads Introduces Live Chats
    Threads is launching live chats for events, making discussions more interactive and engaging.
    “I love this. It sounds like it’s sort of like Discord meets the Twitter spaces.”
    @ 01h 15m 26s
    May 01, 2026
  • YouTube TV Multiview Layouts
    YouTube TV is now allowing multiview layouts, letting you watch multiple games at once.
    “I like it. So, I’ll be able to watch mostly watch the Knicks series and then...”
    @ 01h 23m 04s
    May 01, 2026
  • iTunes History
    A tough question about Apple's DRM system stumps the group, revealing their nerdy side.
    “It was called fair play.”
    @ 01h 31m 24s
    May 01, 2026

Episode Quotes

  • Winning is like the point of sports.
    Are These Apple’s Next Products?
  • I have trust issues.
    Are These Apple’s Next Products?
  • I do think we need to start asking ourselves that question.
    Are These Apple’s Next Products?
  • This is a mix and match type thing.
    Are These Apple’s Next Products?
  • It’s going to be a crazy few years.
    Are These Apple’s Next Products?
  • This is dystopia, dude.
    Are These Apple’s Next Products?

Key Moments

  • Podcast Introduction00:27
  • AI Photo Editing10:44
  • Photo Editing Surprise17:56
  • AI Innovations21:27
  • Privacy Concerns24:54
  • Vision Pro Usage48:35
  • Spotify Fitness Expansion50:16
  • Dark Mode Debate1:33:01

Words per Minute Over Time

Vibes Breakdown

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